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Cellular Systems-- Cellular Concepts. The cellular concept was a major breakthrough in solving the problem of spectral congestion and user capacity. It offered very high capacity in a limited spectrum allocation without any major technological changes. - PowerPoint PPT Presentation
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Cellular Systems--Cellular Concepts The cellular concept was a major breakthrough in solving
the problem of spectral congestion and user capacity It offered very high capacity in a limited spectrum allocation without any major technological changes
The cellular concept has the following system level ideas Replacing a single high power transmitter with many low power
transmitters each providing coverage to only a small area Neighboring cells are assigned different groups of channels in
order to minimize interference The same set of channels is then reused at different
geographical locations
Cellular Concepts
When designing a cellular mobile communication system it is important to provide good coverage and services in a high user-density area
Reuse can be done once the total interference from all users in the cells using the same frequency (co-channel cell) for transmission suffers from sufficient attenuation Factors need to be considered include Geographical separation (path loss) Shadowing effect
Cell Footprint
The actual radio coverage of a cell is known as the cell footprint Irregular cell structure and irregular placing of the
transmitter may be acceptable in the initial system design However as traffic grows where new cells and channels need to be added it may lead to inability to reuse frequencies because of co-channel interference
For systematic cell planning a regular shape is assumed for the footprint
Cell Footprint
Coverage contour should be circular However it is impractical because it provides ambiguous areas with either multiple or no coverage
Due to economic reasons the hexagon has been chosen due to its maximum area coverage
Hence a conventional cellular layout is often defined by a uniform grid of regular hexagons
Cell Footprint
Frequency reuse
A cellular system which has a total of S duplex channels
S channels are divided among N cells with each cell uses unique and disjoint channels
If each cell is allocated a group of k channels then
S = k N
Terminology
Cluster size The N cells which collectively use the complete set of available frequency is called the cluster size
Co-channel cell The set of cells using the same set of frequencies as the target cell
Interference tier A set of co-channel cells at the same distance from the reference cell is called an interference tier The set of closest co-channel cells is call the first tier There is always 6 co-channel cells in the first tier
Co-ordinates for hexagonal cellular geometry With these co-
ordinates an array of cells can be laid out so that the center of every cell falls on a point specified by a pair of integer co-ordinates
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cellular Concepts
When designing a cellular mobile communication system it is important to provide good coverage and services in a high user-density area
Reuse can be done once the total interference from all users in the cells using the same frequency (co-channel cell) for transmission suffers from sufficient attenuation Factors need to be considered include Geographical separation (path loss) Shadowing effect
Cell Footprint
The actual radio coverage of a cell is known as the cell footprint Irregular cell structure and irregular placing of the
transmitter may be acceptable in the initial system design However as traffic grows where new cells and channels need to be added it may lead to inability to reuse frequencies because of co-channel interference
For systematic cell planning a regular shape is assumed for the footprint
Cell Footprint
Coverage contour should be circular However it is impractical because it provides ambiguous areas with either multiple or no coverage
Due to economic reasons the hexagon has been chosen due to its maximum area coverage
Hence a conventional cellular layout is often defined by a uniform grid of regular hexagons
Cell Footprint
Frequency reuse
A cellular system which has a total of S duplex channels
S channels are divided among N cells with each cell uses unique and disjoint channels
If each cell is allocated a group of k channels then
S = k N
Terminology
Cluster size The N cells which collectively use the complete set of available frequency is called the cluster size
Co-channel cell The set of cells using the same set of frequencies as the target cell
Interference tier A set of co-channel cells at the same distance from the reference cell is called an interference tier The set of closest co-channel cells is call the first tier There is always 6 co-channel cells in the first tier
Co-ordinates for hexagonal cellular geometry With these co-
ordinates an array of cells can be laid out so that the center of every cell falls on a point specified by a pair of integer co-ordinates
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell Footprint
The actual radio coverage of a cell is known as the cell footprint Irregular cell structure and irregular placing of the
transmitter may be acceptable in the initial system design However as traffic grows where new cells and channels need to be added it may lead to inability to reuse frequencies because of co-channel interference
For systematic cell planning a regular shape is assumed for the footprint
Cell Footprint
Coverage contour should be circular However it is impractical because it provides ambiguous areas with either multiple or no coverage
Due to economic reasons the hexagon has been chosen due to its maximum area coverage
Hence a conventional cellular layout is often defined by a uniform grid of regular hexagons
Cell Footprint
Frequency reuse
A cellular system which has a total of S duplex channels
S channels are divided among N cells with each cell uses unique and disjoint channels
If each cell is allocated a group of k channels then
S = k N
Terminology
Cluster size The N cells which collectively use the complete set of available frequency is called the cluster size
Co-channel cell The set of cells using the same set of frequencies as the target cell
Interference tier A set of co-channel cells at the same distance from the reference cell is called an interference tier The set of closest co-channel cells is call the first tier There is always 6 co-channel cells in the first tier
Co-ordinates for hexagonal cellular geometry With these co-
ordinates an array of cells can be laid out so that the center of every cell falls on a point specified by a pair of integer co-ordinates
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell Footprint
Coverage contour should be circular However it is impractical because it provides ambiguous areas with either multiple or no coverage
Due to economic reasons the hexagon has been chosen due to its maximum area coverage
Hence a conventional cellular layout is often defined by a uniform grid of regular hexagons
Cell Footprint
Frequency reuse
A cellular system which has a total of S duplex channels
S channels are divided among N cells with each cell uses unique and disjoint channels
If each cell is allocated a group of k channels then
S = k N
Terminology
Cluster size The N cells which collectively use the complete set of available frequency is called the cluster size
Co-channel cell The set of cells using the same set of frequencies as the target cell
Interference tier A set of co-channel cells at the same distance from the reference cell is called an interference tier The set of closest co-channel cells is call the first tier There is always 6 co-channel cells in the first tier
Co-ordinates for hexagonal cellular geometry With these co-
ordinates an array of cells can be laid out so that the center of every cell falls on a point specified by a pair of integer co-ordinates
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell Footprint
Frequency reuse
A cellular system which has a total of S duplex channels
S channels are divided among N cells with each cell uses unique and disjoint channels
If each cell is allocated a group of k channels then
S = k N
Terminology
Cluster size The N cells which collectively use the complete set of available frequency is called the cluster size
Co-channel cell The set of cells using the same set of frequencies as the target cell
Interference tier A set of co-channel cells at the same distance from the reference cell is called an interference tier The set of closest co-channel cells is call the first tier There is always 6 co-channel cells in the first tier
Co-ordinates for hexagonal cellular geometry With these co-
ordinates an array of cells can be laid out so that the center of every cell falls on a point specified by a pair of integer co-ordinates
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Frequency reuse
A cellular system which has a total of S duplex channels
S channels are divided among N cells with each cell uses unique and disjoint channels
If each cell is allocated a group of k channels then
S = k N
Terminology
Cluster size The N cells which collectively use the complete set of available frequency is called the cluster size
Co-channel cell The set of cells using the same set of frequencies as the target cell
Interference tier A set of co-channel cells at the same distance from the reference cell is called an interference tier The set of closest co-channel cells is call the first tier There is always 6 co-channel cells in the first tier
Co-ordinates for hexagonal cellular geometry With these co-
ordinates an array of cells can be laid out so that the center of every cell falls on a point specified by a pair of integer co-ordinates
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Terminology
Cluster size The N cells which collectively use the complete set of available frequency is called the cluster size
Co-channel cell The set of cells using the same set of frequencies as the target cell
Interference tier A set of co-channel cells at the same distance from the reference cell is called an interference tier The set of closest co-channel cells is call the first tier There is always 6 co-channel cells in the first tier
Co-ordinates for hexagonal cellular geometry With these co-
ordinates an array of cells can be laid out so that the center of every cell falls on a point specified by a pair of integer co-ordinates
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Co-ordinates for hexagonal cellular geometry With these co-
ordinates an array of cells can be laid out so that the center of every cell falls on a point specified by a pair of integer co-ordinates
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Co-ordinates for hexagonal cellular geometry
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Designing a cellular system
N=19 (i=3 j=2)
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Designing a cellular system
The cluster size must satisfy N = i2 + ij + j2 where i j are non-negative integers
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Designing a cellular system
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Designing a cellular system
Can also verify that
where Q is the co-channel reuse ratio
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Handover Handoff
Occurs as a mobile moves into a different cell during an existing call or when going from one cellular system into another It must be user transparent successful and not
too frequent Not only involves identifying a new BS but also
requires that the voice and control signals be allocated to channels associated with the new BS
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Handover Handoff
Once a particular signal level Pmin is specified as the minimum usable signal for acceptable voice quality at the BS receiver a slightly stronger signal level PHO is used as a threshold at which a handover is made
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Handover Handoff =handoff threshold -Minimum acceptablesignal to maintain the call too small
Insufficient time
to complete handoff
before call is lost More call losses
too large Too many handoffs Burden for MSC
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Dwell Time
The time over which a user remains within one cell is called the dwell time
The statistics of the dwell time are important for the practical design of handover algorithms
The statistics of the dwell time vary greatly depending on the speed of the user and the type of radio coverage
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Handover indicator
Each BS constantly monitors the signal strengths of all of its reverse voice channels to determine the relative location of each mobile user with respect to the BS This information is forwarded to the MSC who makes decisions regarding handover
Mobile assisted handover (MAHO) The mobile station measures the received power from surrounding BSs and continually reports the results of these measurements to the serving BS
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Prioritizing Handover Dropped call is considered a more serious event
than call blocking Channel assignment schemes therefore must give priority to handover requests
A fraction of the total available channels in a cell is reserved only for handover requests However this reduces the total carried traffic Dynamic allocation can improve this
Queuing of handover requests is another method to decrease the probability of forced termination of a call due to a lack of available channel The time span over which a handover is usually required leaves room for queuing handover request
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Practical handover
High speed users and low speed users have vastly different dwell times which might cause a high number of handover requests for high speed users This will result in interference and traffic management problem
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Practical handover
The Umbrella Cell approach will help to solve this problems High speed users are serviced by large (macro) cells while low speed users are handled by small (micro) cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Practical handover
A hard handover does ldquobreak before makerdquo ie The old channel connection is broken before the new allocated channel connection is setup This obviously can cause call dropping
In soft handover we do ldquomake before breakrdquo ie The new channel connection is established before the old channel connection is released This is realized in CDMA where also BS diversity is used to improve boundary condition
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Interference and System Capacity In a given coverage area there are several cells
that use the same set of frequencies These cells are called co-channel cells The interference between signals from these cells is called co-channel interference
If all cells are approximately of the same size and the path loss exponent is the same throughout the coverage area the transmit power of each BS is almost equal We can show that worse case signal to co-channel interference is independent of the transmitted power It becomes a function of the cell radius R and the distance to the nearest co-channel cell Drsquo
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Interference and System Capacity
Received power at a distance d from the transmitting antenna is approximated by
Useful signal at the cell boundary is the weakest given by Pr (R) Interference signal from the co-channel cell is given to be Pr (Dprime)
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Interference and System Capacity
Drsquo is normally approximated by the base station separation between the two cells D unless when accuracy is needed Hence
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Interference and System Capacity For the forward link a very general case
where Di is the distance of the ith interfering cell from the mobile i0 is the total number of co-channel cells exist
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Interference and System Capacity
If only first tier co-channel cells are considered then i0 = 6
Unless otherwise stated normally assuming Di asymp D for all i
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Outage probability
The probability that a mobile station does not receive a usable signal
For GSM this is 12 dB and for AMPS this is 18 dB If there is 6 co-channel cells then
Exercise please verify this For n=4 a minimum cluster size of N=7 is needed to meet
the SIR requirements for AMPS For n=4 a minimum cluster size of N=4 is required to meet
the SIR requirements for GSM
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Outage probability
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Outage probability
Approximation in distance has been made on the 2nd tier onwards
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Outage probability
More accurate SIR can be obtained by computing the actual distance
Our computation of outage only based on path loss For more accurate modeling shadowing and fast fading need to be taken into consideration This will not be covered in this course
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Coverage Problems Revision
Recall that the mean measured value
Measurement shows that at any value of d the path loss PL(d) at a particular location is random and distributed log-normally (normal in dB) about this mean value
Pr (d)dB = Pr (d)dB + Xσwhere Xσ is a zero-mean Gaussian distributed random variable (in dB) with standard deviation σ(in dB)
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Boundary coverage
There will be a proportion of locations at distance R (cell radius) where a terminal would experience a received signal above a threshold γ (γ is usually the receiver sensitivity)
where Q(x) is the standard normal distribution
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell coverage Proportion of locations within the area defined by the cell r
adius R receiving a signal above the threshold γ
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell coverage
Solution can be found using the graph provided (n path loss exponent)
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell coverage Example if n=4 σ=8 dB and if the boundary is to h
ave 75 coverage (75 of the time the signal is to exceed the threshold at the boundary) then the area coverage is equal to 94
If n=2 σ=8 dB and if the boundary is to have 75 coverage then the area coverage is equal to 91
1048713 An operator needs to meet certain coverage criteria This is typically the ldquo90 rulerdquo ndash 90 of a given geographical area must be covered for 90 of the time
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell coverage The mean signal level at any distance is determined by p
ath loss and the variance is determined by the resulting fading distribution (log-normal shadowing Rayleigh fading Nakagami-m etc) In this course we will deal with log-normal shadowing only
The proportion of locations covered at a given distance (cell boundary for example) from BS can be found directly from the resultant signal pdfcdf
The proportion of locations covered within a circular region defined by a radius R (the cell area for example) can be found by integrating the resultant cdf over the cell area
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell coverage --Cellular Traffic
The basic consideration in the design of a cellular system is the sizing of the system Sizing has two components to be considered Coverage area Traffic handling capability
After the system is sized channels are assigned to cells using the assignment schemes mentioned before
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell coverage --Terminology in traffic theory Trunking exploits the statistical characteristics of the u
sers calling behaviour Any efficient communication system relies on trunking to accommodate a large number of users with a limited number of channels
Grade of service (GoS) A user is allocated a channel on a per call basis GoS is a measure of the ability of a user to access a trunked system during the busiest hour It is typically given as the likelihood that a call is blocked (also known as blocking probability mentioned before)
Trunking theory is used to determine the number of channels required to service a certain offered traffic at a specific GoS
Call holding time (H) the average duration of a call Request rate (λ) average number of call requests peru
nit time
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell coverage --Traffic flow or intensity A
Measured in Erlang which is defined as the call minute per minute
Total offered traffic for such a system is given as
A = λ sdotH
Exercise There are 3000 calls per hour in a cell each lasting an average of 176 min Offered traffic A = (300060)(176) = 88 Erlangs
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Cell coverage If the offered traffic exceeds the maximum possible
carried traffic blocking occurs There are two different strategies to be used Blocked calls cleared Blocked calls delayed
Trunking efficiency is defined as the carried traffic intensity in Erlangs per channel which is a value between zero and one It is a function of the number of channels per cell and the specific GoS parameters
Call arrival process it is widely accepted that calls have a Poisson arrival
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Channel Assignment Strategies Channel allocation schemes can affect the
performance of the system Fixed Channel Allocation (FCA)
Channels are divided in sets A set of channels is permanently allocated to each cell
in the network Same set of channels must be assigned to cells separated by a certain distance to reduce co-channel interference
Any call attempt within the cell can only be served by the unused channels in that particular cell The service is blocked if all channels have used up
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Channel Assignment Strategies (FCA)
Most easiest to implement but least flexibility An modification to this is lsquoborrowing schemersquo Cell (acc
eptor cell) that has used all its nominal channels can borrow free channels from its neighboring cell (donor cell) to accommodate new calls
Borrowing can be done in a few ways borrowing from the adjacent cell which has largest number of free channels select the first free channel found etc
To be available for borrowing the channel must not interfere with existing calls The borrowed channel should be returned once the channel becomes free
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Channel Assignment Strategies (DCA) Dynamic Channel Allocation (DCA)
Voice channels are not allocated to any cell permanently All channels are kept in a central pool and are assigned dynamically to new calls as they arrive in the system
Each time a call request is made the serving BS requests a channel from the MSC It then allocates a channel to the requested cell following an algorithm that takes into acount the likelihood of future blocking within the cell the reuse distance of the channel and other cost functions
increase in complexityrArr Centralized DCA scheme involves a single controller selecting a chann
el for each cell Distributed DCA scheme involves a number of controllers scattered across the network
For a new call a free channel from central pool is selected based on either the co-channel distance signal strength or signal to noise interference ratio
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
Channel Assignment Strategies
Flexible channel assignment Divide the total number of channels into two groups one of
which is used for fixed allocation to the cells while the other is kept as a central poor to be shared by all users
Mix the advantages the FCA and DCA available schemes are scheduled and predictive
Channels need to be assigned to users to accommodate new calls handovers
with the objective of increasing capacity and minimizing prob
ability of a blocked call
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques
As demand for wireless services increases the number of channels assigned to a cell eventually becomes insufficient to support the required number of users More channels must therefore be made available per unit area This can be accomplished by dividing each initial cell area i
nto a number of smaller cells a technique known as cell-splitting
It can also be accomplished by having more channels per cell ie by having a smaller reuse factor However to have a smaller reuse factor the co-channel interference must be reduced This can be done by using antenna sectorization
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques--Cell splitting Cell splitting increases the number of BSs in order t
o increase capacity There will be a corresponding reduction in antenna height and transmitter power
Cell splitting accommodates a modular growth capability This in turn leads to capacity increase essentially via a system re-scaling of the cellular geometry without any changes in frequency planning
Small cells lead to more cellsarea which in turn leads to increased traffic capacity
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques--Cell splitting
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques--Cell splitting For new cells to be smaller in size the transmit pow
er must be reduced If n=4 then with a reduction of cell radius by a factor of 2 the transmit power should be reduced by a factor of 24 (why)
In theory cell splitting could be repeated indefinitely In practice it is limited
By the cost of base stations Handover (fast and low speed traffic) Not all cells are split at the same time practical problems o
f BS sites such as co-channel interference exist Innovative channel assignment schemes must be develope
d to address this problem for practical systems
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques--Cell splitting
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques --Sectorization Keep the cell radius but decrease the DR rati
o In order to do this we must reduce the relative interference without increasing the transmit power
Sectorization relies on antenna placement and directivity to reduce co-channel interference Beams are kept within either a 60deg or a 120deg sector
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques --Sectorization If we partition a cell into three 120deg sectors the num
ber of co-channel cells are reduced from 6 to 2 in the first tier
Using six sectors of 60deg we have only one co-channel cell in the first tier
Each sector is limited to only using 13 or 16 of the available channels We therefore have a decrease in trunking efficiency and an increase in the number of required antennas
But how can the increase in system capacity be achieved
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques --Sectorization
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques --Sectorization
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques --Micro cells Micro cells can be introduced to alleviate cap
acity problems caused by ldquohotspotsrdquo By clever channel assignment the reuse fact
or is unchanged As for cell splitting there will occur interference problems when macro and micro cells must co-exist
System Expansion Techniques --Micro cells
System Expansion Techniques --Micro cells