Upload
jan-novak
View
217
Download
0
Embed Size (px)
Citation preview
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 1/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 1/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
FUNCTIONAL FEATURE DESCRIPTION
Radio Measurement Statistics (RMS) - MAFA in Release B7
This document covers the following features:
62 60 84 Radio Measurement Statistics (RMS)
62 60 86 Mobile Assisted Frequency Allocation (MAFA)
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 2/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 2/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
Contents
1. FOREWORD ...................................................................................................................................3
2. REFERENCES.................................................................................................................................3
3. ACRONYMS ....................................................................................................................................3
4. INTRODUCTION .............................................................................................................................4
5. ABSTRACT......................................................................................................................................5
5.1 Need for Radio Measurements.............................................................................................. 5
5.2 Alcatel implementation of the need in BSS release B7 .........................................................6
5.3 Benefits of the RMS...............................................................................................................7
5.4 Hardware coverage ...............................................................................................................8
6. RMS DETAILED FEATURE DESCRIPTION...................................................................................9
6.1 Introduction............................................................................................................................ 9
6.2 Templates ............................................................................................................................10
6.3 RMS jobs outputs ................................................................................................................11
6.3.1 Matrixes ..................................................................................................................11
6.3.2 Vectors....................................................................................................................12
6.3.3 Simple indicators.....................................................................................................12
6.4 RMS jobs activation process ...............................................................................................14
6.4.1 RMS with the OMC-R .............................................................................................15
6.4.2 RMS with the OMC-R and NPA.............................................................................. 16
6.4.3 RMS with the OMC-R, NPA and RNO....................................................................17
7. RMS REPORTS.............................................................................................................................18
7.1 Presentation......................................................................................................................... 18
7.2 File format............................................................................................................................ 19
8. USING RMS OUTPUTS FOR OPERATORS DAILY JOB.............................................................20
8.1 Usage for Radio Network Planning...................................................................................... 20
8.2 Usage for Radio Network Optimization................................................................................208.3 Usage for Network troubleshooting ..................................................................................... 21
9. CONCLUSION...............................................................................................................................21
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 3/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 3/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
1. FOREWORD
It is assumed that the reader has basic knowledge of radio measurements defined in GSM 5.08.
2. REFERENCES
[1] TS GSM 04.08 V6.2.0 Mobile radio interface; Layer 3 specification
[2] TS GSM 08.58 V5.3.0 BSC-BTS interface; Layer 3 specification
[3] 3DC 21076 0005 TQZZA EVOLIUM™ Radio Solutions - A1353 RA OMC-RProduct Description
[4] 3DC 21119 0001 TQZZA EVOLIUM™ Radio Solutions - A956 RNO ProductDescription
3. ACRONYMS
A-bis Telecommunication Interface between BSC and BTS
ARFCN Absolute Radio Frequency Channel Number
BCCH Broadcast Control Channel
BFI Bad Frame Indicator
BS Base Station
BSC Base Station Controller
BSS Base Station System
BTS Base Transceiver StationFER Frame Erasure Rate
GPRS General Packet Radio Service
GSM Global System for Mobile communication
HO Handover
HW Hardware
MAFA Mobile Assisted Frequency Allocation
MS Mobile Station
MSC Mobile services Switching Center
NPA Network Performance Analyzer tool (OMC-R option)
O&M Operation and MaintenanceOMC-R Operation and Maintenance Center-Radio
PDCH Packet Data Channel
QoS Quality Of Service
RMS Radio Measurement Statistics
RNO Radio Network Optimization tool (A956)
RNP Radio Network Planning
RXLEV Reception Level
RXQUAL Reception Quality
SACCH Slow Associated Control Channel
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 4/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 4/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
SDCCH Stand Alone Dedicated Control Channel
SW Software
TA Timing Advance
TCH Traffic Channel
TRX Transceiver
4. INTRODUCTION
This document deals with the features “Radio Measurement Statistics (RMS)" and "Mobile Assisted
Frequency Allocation (MAFA)" introduced in the BSS release B7.
The scope of the present document is hereafter detailed :
• In section 5, an abstract shows the benefits brought by the feature,
• In section 6, the services brought by the RMS feature are highlighted. Section 6 also details the
RMS job activation process. Impacts on the ALCATEL tools (NPA and RNO) are also described,
• In section 7, the RMS output file format and possible reports are described,
• In section 8, examples of RMS usage in the operators organization are given,
• Section 9 is the document conclusion.
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 5/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 5/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
5. ABSTRACT
Radio Measurements are of prime importance for operators, allowing them to constantly check the
Quality of Service (QoS) and then tune the various network parameters to optimize this QoS.
Traditionally, these measurements were obtained through measurement campaigns realized on the
field by teams of technicians using appropriate tools: trace mobiles, protocol analyzers,...
With the proposed feature, most of these measurements are now available directly from the network
itself, providing instantly the following advantages:
• exhaustiveness: measurements are constantly available for any area in the network, for any
period of time; no need to decide a priori which area has to be measured;
• flexibility: no need to plan in advance measurement campaigns depending on measurement
equipment or staff availability; results are available at any time; it is possible to focus on demand
on any aspect of measurement results
This feature relies on:
• appropriate software in the BTSs and OMC-R, part of release B7 delivery
• use of MAFA (Mobile Assisted Frequency Allocation) feature on mobile: this ETSI standardized
feature, will progressively be implemented in new generations of commercial mobile phones,
allowing each mobile in the network to report measurements corresponding to real operation
conditions.
5.1 Need for Radio Measurements
Each and every mobile operator needs to assess the Quality of Service (QoS) of his network. A good
QoS is not just a differentiating element for one operator compared to its competitors, it is also a way
to ensure maximum airtime duration.
Ensuring a good QoS is made on 3 main keys following:
• Call accessibility to ensure optimal coverage
• Call retainability to ensure a minimum number of call drops
• Voice quality to ensure a good MS user perception
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 6/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 6/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
In order to measure these different factors, different sources of measurements are available for
operators:
• Air interface measurements, with trace mobiles and GPS positioning. These measures are very
exhaustive, but they are limited to a reduce set of cells. They are more dedicated to
troubleshooting issues or benchmarking issues, but cannot be reasonably performed on the
whole network every day.
• Abis measurements. By using protocol analyzers connected physically on one or more Abis
interfaces (depending on the protocol analyzer performances), the operator can retrieve useful
statistics to ensure good radio conditions and calls behavior. It is however not imaginable that
these kind of measurements could be performed every day, on the whole network, due to the big
number of protocol analyzers that would be required and the corresponding number of post-
processing tools.
The result of these statistics are usually dedicated to planning and optimization teams, they have a
limited interest for exploitation teams which more focus on supervision aspects.
These statistics measure the radio conditions of the calls (RxLev, RxQual, Power control settings,
path balance, interferences, etc…). As good the frequency planning of a GSM network has a direct
impact on the QoS, operators have to look particularly at radio interferences and check how to
optimize the frequency plan in order to limit them. This means looking at the radio spectrum in order
to find "clean" frequencies that could be used to replace interfered ones, for each and potentially
every cell of the network.
5.2 Alcatel implementation of the need in BSS release B7
Raw information corresponding to these measurements is in fact naturally available in the BTSs:
handover, power control and various other algorithms are using information on radio conditions. This
information is present in the measurement reports exchanged between the Mobile Station (MS) and
the BTS.
The principle of the proposed feature is then to collect this information from the system in order to
avoid the need for external HW (protocol analyzer, drive tests systems, etc…).
This information will be collected in the OMC-R. Considering the huge amount of data generated by
all individual calls, statistics will be computed at the BTS level and then sent through the BSC to the
OMC-R, according to the generic process used for PM reporting, this is why the Radio Measurement
Statistics (RMS) will appear as a new PM type in B7.
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 7/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 7/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
Moreover, the statistics can be used as is, meaning no further post-processing (designed by an
expert) would be needed.
In order to help also the operator find "clean" frequencies for better frequency planning, the RMS will
also provide information based on the MAFA feature. MAFA is a standardized GSM feature that
provides a way for the system to ask each MS to measure extra-frequencies (frequencies of non-
neighbor cells). MAFA mobiles are foreseen in mid-2001. MAFA can also be used to check
interferences from non-neighbor cells.
The RMS measurements are triggered at the OMC-R level, with some preconditions that inform the
BTS how to compute the different statistics. A RMS job can be defined at cell level (punctual job,
limited to 40 cells per BSC), or for the whole BSC (permanent job, no limit in terms of number of
cells). The job parameters are stored through a template. The operator can define up to 16
templates, and apply its preferred template for each cell. For example, RMS measurements could
have different parameters for dense urban cells and rural cells.
A template is composed of 54 parameters. The OMC-R provides all facilities to tune these different
parameters, for each template. These parameters are usually called thresholds; they are described
later in the present document.
5.3 Benefits of the RMS
As written previously, this feature is designed to make far easier the network radio planning and
optimization by providing the operator with useful statistics on reported radio measurements.
In fact these statistics give directly the real cell characteristics by taking into account the MS
distribution.
Thanks to this feature, the operator is able to:
• detect interfered frequencies,
• assess the quality of the cell coverage,
• detect and quantify cell unexpected propagation,
•
assess the traffic distribution in the cell from statistics on reported neighbor cells,• evaluate the voice quality in the cell,
• etc.
It shall be noted that this measurement type could replace the current Type 11
(RTCH Measurements Observation). It brings the following advantages:
• smaller report files,
• report files have always the same maximum length whatever the measurement duration is,
• permanent job facility.
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 8/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 8/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
Availability of these statistics bring cost savings for the operator due to less needed manpower to
collect the data, in combination with ease for daily network wide collection.
5.4 Hardware coverage
The statistics are based on the measurements performed at the BTS and the MS side, only on TCH
channels. They are supported by all the BTS generations, except BTS G1.
Every existing Mobile Station (MS) is able to provide RMS whereas, for MAFA, specific mobiles
supporting this standardized GSM feature are needed. It is thus the responsibility of the operator to
push for a good penetration of MAFA mobiles in its network to benefit from this feature.
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 9/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 9/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
6. RMS DETAILED FEATURE DESCRIPTION
6.1 Introduction
A new BSS raw measurement type is defined: “Radio Measurements Statistics” (RMS).
The operator can trigger this measurement type from the OMC-R on a per cell basis for a given
duration (normally more than one hour). Reporting period shall be provided from one hour to 24
hours.
During the observation period, the BTS stores all the requested statistics results reported by the
mobiles or measured by the BTS on TCH. At the end of the observation period, the BTS builds a
report (binary files) and sends it to the OMC-R.
In addition to this, it is possible during the observation period to apply the “Mobile Assisted Frequency
Allocation” (also called MAFA or “Extended Measurement Reporting”).
This procedure consists in sending only once per mobile an “Extended Measurement Order” (also
called EMO) so that they take one SACCH multiframe to perform measurements on specific
frequencies and that they report these measurements via the EXTENDED MEASUREMENT
REPORT message.
The MAFA procedure is totally included in the RMS job. The statistics related to MAFA will be
collected in the BTS and integrated to the RMS results.
The RMS can be classified in the following way :
• Radio related statistics reported per TRX
• on neighbor cells (C/I)
• on MAFA frequencies (C/I)
• on downlink and uplink quality & level
• on number of consecutive bad speech frames (BFI)
• on Radio Link Counter (UpLink only)
• on Path Balance
• on Timing Advance
• on Power and number of channel seizures
• Voice quality statistics reported per TRX
• 9 Voice quality indicators, computed from analysis of RxLev, RxQual and FER.
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 10/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 10/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
6.2 Templates
The template contains the job parameters. It tells the system how to compute the statistics by
defining thresholds. For example, RMS provides a facility to obtain the distribution of the RxLev (in
uplink or downlink). This vector represents the number of measurement reports for which the value
of the RxLev is within different intervals (also called RxLev bands), for each TRX. The interval
bounds are defined by thresholds, which are themselves defined in a template. Depending on the cell
characteristics, the operator could apply different thresholds. For example, it is interesting to
associate to a rural cell in coverage limit, intervals that would provide an accurate computation of the
number of measurements in low values of the RxLev, whereas, for a micro cell, it would make more
sense to look accurately at higher levels distribution.
Template contents (each template is composed of 54 parameters):
Parameter Name Based on Ranges / Number of Values
MEAS_STAT_LEV RxLev 9 values from -109 dBm to -47 dBm (1 dB
step)
MEAS_STAT_BFI Bad Frame Indicator (BFI) 9 values from 1 to 24 (step 1)
MEAS_STAT_CI C/I (difference vs. RxLev serving and
RxLev neighbor)
9 values from -63 dB to 63 dB (1 dB step)
MEAS_STAT_S Radio Link Counter S 9 values from 1 to 127 SACCH multiframes
(step 1)
MEAS_STAT_PATH_BALANCE Path balance 9 values from -109 dBm to 109 dBm (1 dBstep)
EN_BALANCED_CI boolean to take care of Power Control
for C/I computation
0 or 1
Voice Quality Configuration
VQ_AVERAGE See1
one value from 1 to 128 SACCH
multiframes
VQ_RXLEV RxLev one value from -47 dBm to -110 dBm (1 dB
step)
VQ_RXQUAL RxQual one value from 0.0 to 7.0 (step 0.1)
VQ_RXQUAL_VS_RXFER RxQual, FER one value from 0.0 to 7.0 (step 0.1)
VQ_GOOD_RXFER FER one value from 0.0% to 20.0% (step 0.1%)
VQ_BAD_RXFER FER one value from 0.0% to 20.0% (step 0.1%)
1 Voice Quality statistics are based on non-sliding averages of RxQual, RxLev measurements on both paths
and FER measurements on uplink, the VQ_AVERAGE parameter correspond to the averaging window size.
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 11/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 11/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
Parameter Name Based on Ranges / Number of Values
VQ_INTF_THRESHOLD one value from 0% to 100% (step 1%)
VQ_FER_THRESHOLD one value from 0% to 100% (step 1%)
6.3 RMS jobs outputs
RMS jobs outputs can have different forms (matrixes, vectors or simple indicators). They correspond
to the statistics extracted from the MS (downlink) and BTS (uplink) measurement reports. They are
computed according to the template parameters associated to each cell.
6.3.1 Matrixes
• RxQual/RxLev matrix in uplink (reported per TRX)
Number of measurement reports per RxLev interval (MEAS_STAT_LEV ) and RxQual interval2,
the average value of the MS Power level and the average Timing Advance (TA) are also
provided
• RxQual/RxLev matrix in downlink (reported per TRX)
Number of measurement reports per RxLev interval (MEAS_STAT_LEV ) and RxQual interval
(see note2), the average value of the BS_TXPWR level and the average Timing Advance (TA)
are also provided
• BFI/RxLev matrix in uplink (reported per TRX)
Number of measurement reports per BFI interval (MEAS_STAT_BFI ) and RxLev interval
(MEAS_STAT_LEV )
2 Since only 8 values (from 0 to 7) of RxQual are available through the GSM system, the intervals correspond
to integer values with a step of 1 (0 to 1, 1 to 2, …, 6 to 7).
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 12/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 12/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
6.3.2 Vectors
• C/I3 vectors (reported per TRX)
Neighbor cell based C/I vector (number of measurement reports per C/I interval(MEAS_STAT_CI )
• EMO (MAFA frequencies) based C/I vector (reported per TRX)
Same definition as above, frequencies identified by their ARFCN
• Radio Link Counter S vector (reported per TRX)
Number of measurement reports per Counter S interval (MEAS_STAT_S )
•
Path Balance vector (reported per TRX)
Number of measurement reports per Path Balance interval (MEAS_STAT_PATH_BALANCE )
PathBal = (RxLev_UL - MS_TXPWR) - [ RxLev_DL + (BTS_Max_Output_Power - 2*BS_TXPWR) ]
6.3.3 Simple indicators
• Voice Quality indicators (reported per TRX)
• Number of calls with DL/UL interference (good RxLev, bad RxQual)
• Number of calls with DL/UL bad coverage (bad RxLev, bad RxQual)
• Number of calls with DL/UL undefined (no major cause)
• Number of calls with UL bad/good FER
• Number of calls with Abnormal bad FER (good RxQual & bad FER)
A single call is identified at its end or after an intracell or intercell handover. Then, the corresponding
number of measurement reports is identified for this call in order to compute the above indicators.
3 C/I stands for Carrier over Interferer. It corresponds to the difference between a serving cell RxLev and each
of its neighbor RxLev. This difference is used for frequency plan computation, to limit the interferences by
constraining a frequency gap between a cell and its neighbors BCCH. The mobile receives the signal from
many BCCH frequencies. On a given geographical position, it will be connected to a serving cell and will report
the RxLev of the 6 best neighbors. For a given neighbor, the assumption is that the received RxLev would be
the same whatever the neighbor BBCH frequency is. Thus, depending on the difference between the serving
cell RxLev and the considered neighbor (C/I), a minimum frequency gap between the 2 cells BCCH would be
needed. This gap could be 0 (both cells can use the same BCCH frequency because the difference value is
very high), it could be 1 because there is a medium interference (difference value is medium) or it should be 2
because there is a high interference ( difference value is too small).
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 13/21
E d
0 3
R el e a s e d
M C D
F F U V 4 R E 3 .D O C
v 3
3 D C
2 1 1 4 4 0 0
2 7 T QZ Z A
1 3 / 2 1
All rights re
document
not per1AA 00014 0004 (9007)A4
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 14/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 14/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
6.4 RMS jobs activation process
Depending on which optional elements of the Alcatel BSS offer the operator owns, different
possibilities are available to configure and use RMS.
The job activation process consists in the following phases:
1. Define the job measurement period, which is a contiguous period of the day (for example, from
7:00 to 14:00). During the job period, no modification can be done on the job parameters.
2. Assign per cell:
• the template to be used (facility are offered by the OMC-R or RNO for massive assignment)
• whether MAFA measurements should be performed
• the MAFA frequencies if previous bullet is true
At the end of the job, the data is available in the OMC-R through binary files, as for any other
permanent PM job. The OMC-R does not provide any display of the job results, such display is
available through NPA4 and RNO
5, as explained in the following chapters.
4 NPA is the Alcatel Network Performance Analyzer. NPA is an option of the A1353 RA OMC-R
5 RNO is the Alcatel Radio Network Optimization tool, for Alcatel BSS equipment
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 15/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 15/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
6.4.1 RMS with the OMC-R
The OMC-R operator defines the RMS job parameters (i.e. the 54 parameters) from the OMC-R
MMI. There is one job per day and per BSC and all the BSC of the OMC-R can have a job activated
at the same time in order to compute full network statistics. The OMC-R operator has all the facility to
configure:
• the template definitions (different thresholds). Up to 16 different templates can be used,
• the preferred template to be used for each cell,
• the frequencies to monitor through MAFA measurements for each cell.
The output of the job is a binary file per BSC. Its structure is described in paragraph 7.1.
Figure 1- RMS with the OMC-R
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 16/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 16/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
6.4.2 RMS with the OMC-R and NPA
Since RMS measurements are available as new PM, they can be stored in NPA, avoiding the need
for the operator to write a post-processing tool of RMS outputs. NPA is able to store RMS jobs for 5
consecutive days. NPA provides reports based on the RMS results, as well as warning reports on the
Path Balance.
Figure 2 - RMS with the OMC-R and NPA
See paragraph 7.1 for report samples.
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 17/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 17/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
6.4.3 RMS with the OMC-R, NPA and RNO
If RNO is used in the operator’s GSM network, it will deal directly with templates definitions, MAFA
frequencies definitions, and all the RMS outputs will benefit to RNO.
RNO provides powerful reports based on RMS results (See paragraph 7.1 for report samples),
facility to correlate RMS results and other QoS indicators or to correlate them with changes on the
network (new frequency or neighborhood plan, parameters tuning, etc...).
RNO can generate an experience matrix from RMS measurements for the frequency planning tool,
and can recommend frequency changes thanks to MAFA results availability. The experience matrix
is mandatory for frequency plan computation, since it is measured in the real network and not issued
from theoretical propagation algorithms that are not always valid, especially in dense urban areas.
Interference detection is empowered in RNO diagnosis module thanks to RMS C/I matrixes.
RNO is able to export RMS reports in Microsoft Excel for further post-processing.
Q u a l 0
Q u a l 2
Q u a l 4
Q u a l 6
-47<x <-53
-53<x <-60
-60<x <-66
-66<x <-72
-72<x <-79
-79<x <-85
-85<x <-91
-91<x <-97
-97<x <-104
-104<x<-110
ULRxQual
ULRxLev
DL-TimingAdvance
7.5-9.0
6.0-7.5
4.5-6.0
3.0-4.5
1.5-3.0
0.0-1.5
Figure 3 - RMS with the OMC-R, NPA and RNO
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 18/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 18/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
7. RMS REPORTS
After notification on availability of RMS result reports, the OMC-R collects them from the BSSs. The
reports are provided in form of one binary file per BSC. Reports are then collected by NPA for
presentation and access by RNO. They could also be used by any other in-house post-processing
system.
7.1 Presentation
RMS reports are provided by NPA and RNO. Some report examples are shown in the figures below.
Q u a l 0
Q u a l 2
Q u a l 4
Q u a l 6
-47 < x < -53
-53 < x < -60
-60 < x < -66
-66 < x < -72
-72 < x < -79
-79 < x < -85
-85 < x < -91
-91 < x < -97
-97 < x < -104
-104 < x < -110
UL RxQual
UL RxLev
DL - Timing Advance
7.5 -9.0
6.0 -7.5
4.5 -6.0
3.0 -4.5
1.5 -3.0
0.0 -1.5
This report represents a matrix
report that provides the
average Timing Advance per
RxLev band and RxQual
interval. Such a report could
highlight resurgences for
example.
<DL RxQual>
0
20
40
60
80
100
120
140
-47 <
x < -
53
-53 <
x < -
60
-60 <
x < -
66
-66 <
x < -
72
-72 <
x < -
79
-79 <
x < -
85
-85 <
x < -
91
-91 <
x < -
97
-97 <
x < -
104
-104
< x <
-110
0
0.5
1
1.5
2
2.5
Samples
Average
This report shows the
distribution of the RxQual per
RxLev band (number of
samples on the left and
RxQual average on the right).
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 19/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 19/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
This report is an example of a
3D representation that could
be obtained from a RMS
matrix. It shows the BS power
per RxLev band and RxQual
interval.
7.2 File format
Reports are provided in a directory of the OMC-R. External applications can read the report files or
retrieve them by ftp transfer.
RMS results are composed of one binary file per BSC (PM Type 31). The file contains one block per
cell, the following figure summarize the different blocks contents.
Neighbor cells Block Neighbor cells Block
EMO freq. Block EMO freq. Block
TRX Block TRX Block
.
.
.
Cell Block Cell Block
Neighbor cells Block Neighbor cells Block
EMO freq. Block EMO freq. Block
TRX Block TRX Block RMS job
parameters
repetition
+ cell Id.
TRX Id. +
TRE Band +
job validity flags
+ measurements
TRX Id. +
Neighbor cell Id. +
C/I values
TRX Id. +
MAFA freq. ARFCN +
C/I values
Figure 4 - RMS file structure
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 20/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 20/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
8. USING RMS OUTPUTS FOR OPERATORS DAILY JOB
8.1 Usage for Radio Network Planning
The Radio Network Planning activity needs a lot of Radio Measurements coming from the field.
Firstly, they are used to calibrate the propagation models, secondly, RNP databases (topographic
and morphostructure databases) are not adapted to very dense areas. Those measurements are
essential for an optimal network planning and thus, an optimal frequency planning.
Thanks to C/I measurements provided by RMS, it is possible to compute an "experience matrix" by
deducting recommended frequency gaps between 2 cells from the RMS outputs in order to constraint
efficiently the frequency planning tool which disposes, usually, only of a theoretical "interference
matrix".
Thanks to EMO (MAFA) C/I matrixes, it is possible for the frequency planning tool to find "clean"
frequencies directly from the field. Every Mobile Station supporting MAFA acts as a potential
spectrum analyzer and provides outstanding information on the radio conditions, for each single cell.
8.2 Usage for Radio Network Optimization
The RMS outputs are especially designed for network optimization activities. The following table
shows some example of usage of the different RMS outputs.
RMS output type Usage for optimization
RxQual/RxLev matrixes • Identify resurgences, coverage holes and
interferences
• Assess Power Control algorithms tuning
• Assess HO on quality tuning
• Assess HO on distance tuning
C/I vectors (neighbors and MAFA) • Identify interferences from neighbor and
non-neighbor cells
• Correlate standard QoS indicators (call
drop rate) with interference on the field
• Ask the system to help you to find clean
frequencies
Radio Link Counter S stats • Identify coverage holes and correlate this
with standard QoS indicators
• Identify very strong interference that
8/11/2019 Radio Measurement Statistics
http://slidepdf.com/reader/full/radio-measurement-statistics 21/21
Ed 03 Released
MCD FFUV4RE3.DOC v 3 3DC 21144 0027 TQZZA 21/21
A l l r i g h t s r e s e r v e d .
P a s s i n g o n a n d c o p
y i n g o f t h i s
d o c u m e n t , u s e a n d c o m m u n i c a t i o n o f i t s c o n t e n t s
n o t p e r m i t t e d w i t h o u t w r i t t e n a u t h o r i z a t i o n .
1 A A
0 0 0 1 4 0 0 0 4 ( 9 0 0 7 ) A 4
RMS output type Usage for optimization
prevents the BTS to talk to the MS
Path Balance vector Ensure good setting of BTS power
transmission level and power control settings
BFI and voice quality indicators Ensure good QoS with an end user
perception
Aggregations and correlations of the different outputs provided through RMS will also provide
indication on the network radio quality.
8.3 Usage for Network troubleshooting
Although not designed especially for network troubleshooting, some RMS outputs could pinpoint
system problems.
For example, a bad path balance vector could result from cable or antenna problems, or from a bad
cable plugging (inversion of TX/RX or inversion of sectors).
Coverage hole or interferences can be due to bad antenna azimuth (extracted from various
observations; ex: sudden decrease of average downlink level over a period of time).
9. CONCLUSION
RMS is the ultimate feature for optimization that could be expected from a BSS system. Thanks to
results availability each day on the whole network, Abis traces could be limited to troubleshooting,
and drive tests could be limited to troubleshooting and benchmarking. There is no more need to use
these costly (in terms of manpower and equipment) traces for regular network monitoring.
MAFA is also an outstanding feature for frequency planning and interference detection, which are
critical steps to obtain a good network, for the total satisfaction of the subscribers and for an optimal
Airtime consumption.
End of Document