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1 © Nokia Siemens Networks LTE Radio Planning Tool –  ATOLL / Jose Maria Anarte / v1.0 / Document Number For public use – IPR applies LTE Radio Planning Tool - ATOLL LTE Radio Planning Essentials course

09 - LTE Planning Tool-ATOLL[1]

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    1 Nokia Siemens Networks LTE Radio Planning ToolATOLL / Jose Maria Anarte / v1.0 / Document Number

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    LTE Radio Planning Tool - ATOLLLTE Radio Planning Essentials course

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    Nokia Siemens Networks Academy

    Legal notice

    Intellectual Property Rights

    All copyrights and intellectual property rights for Nokia Siemens Networks trainingdocumentation, product documentation and slide presentation material, all of which are forthwithknown as Nokia Siemens Networks training material, are the exclusive property of NokiaSiemens Networks. Nokia Siemens Networks owns the rights to copying, modification,translation, adaptation or derivatives including any improvements or developments. Nokia

    Siemens Networks has the sole right to copy, distribute, amend, modify, develop, license,sublicense, sell, transfer and assign the Nokia Siemens Networks training material. Individualscan use the Nokia Siemens Networks training material for their own personal self-developmentonly, those same individuals cannot subsequently pass on that same Intellectual Property toothers without the prior written agreement of Nokia Siemens Networks. The Nokia SiemensNetworks training material cannot be used outside of an agreed Nokia Siemens Networkstraining session for development of groups without the prior written agreement of NokiaSiemens Networks.

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    Module Objectives

    After completing this module, the participant should be able to:

    Describe the basic settings and options in the ATOLL radio planningtool for LTE

    Examine the Traffic Modelling ATOLL

    Revise the Monte Carlo Simulations done with ATOLL

    Explain the MIMO setting in ATOLL

    Understand how to produce Traffic Maps with ATOLL

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    Module Contents

    ATOLL for LTE: Basic Concepts & Settings

    Traffic Modelling

    Monte Carlo Simulations

    MIMO in ATOLL

    Creating Traffic Maps in ATOLL

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    Module Contents

    ATOLL for LTE: Basic Concepts & Settings

    Traffic Modelling

    Monte Carlo Simulations

    MIMO in ATOLL

    Creating Traffic Maps in ATOLL

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    Explorer

    Window

    Map

    Window

    Point

    Analysis

    Window

    Legend

    Window

    Panoramic

    View

    Atoll GUI

    Atoll GUI

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    Network Design Workflow

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    LTE Planning with ATOLL - STEPS

    1.- Open Network plan

    2.- Set computation zone (Polygon in red))

    To have clear definition of analyzed area To reduce calculations

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    Network Design (1/2)

    Networks consist of Base Stations ( eNodeB) comprising

    Sites = Locations Geographical locations of base stations

    Can support one or more transmitters

    Sites database can be shared with Atoll Microwave

    Transmitters = Radio Aerials

    Comprises radio transmission/reception parameters and antennas Can handle one or several antennas and MIMO systems

    Can be linked to a TMA, feeder cables, and other equipment

    Can have up to two path loss matrices: a high-resolution path loss matrix forprecise results near the transmitter and a low-resolution path loss matrix for

    interference calculation far from the transmitter Supports cells (carriers) with parameters defined at cell level

    Other base station parameters Cyclic prefix, PDCCH and PUCCH channel overheads, switching point

    periodicity for TDD frames, uplink power control margin

    Network Entities in ATOLL (1/2)

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    Networks consist of Base Stations (eNodeB) comprising

    Cells = Radio Channels Hardware unit supporting an RF channel, i.e., 1 cell = 1 carrier

    Has a certain traffic capacity limited by the channel bandwidth

    Main properties of a Cell:

    Channel (frequency band, channel number, and bandwidth)

    Transmission power Reception equipment

    Scheduler

    Maximum number of simultaneous active users

    AMS threshold (Adaptive MIMO Switching)

    Uplink and downlink traffic loads Uplink noise rise

    TDD frame configuration

    Antenna diversity support (Transmit Diversity, Spatial Multiplexing, AMS)

    Neighbours

    Network Entities in ATOLL (2/2)

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    Path Loss Settings

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    Definition of LTE Network Parameter Settings (1/2)

    Frequencies

    LTE Bearers

    Coding Schemes & Modulation

    Coding Rate

    Bit/symbol

    Quality Indicators BLER, BER, PER

    Schedulers

    MIMO Configurations

    Global Parameter Settings (PC, Fixed Contr. ChannelOverhead) via Properties

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    Definition of LTE Network Parameter Settings (2/2)

    Services

    Use/define/edit the service according their behavior

    FTP Download

    VoIP

    Video Conferencing

    Web Browsing Any other profile if needed

    User Profiles

    Possible to define different kind of users which differ in service usagepattern.

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    Atoll can model multi-band networks within the same document

    Pre-defined frequency bands

    Possibility to easily create / modify frequency bands Support for multiple channel bandwidths and different sampling frequencies

    TDD and FDD frequency bands supported

    LTE Frequency Bands

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    LTE Radio Bearers Settings

    LTE Radio Bearer = Modulation and coding scheme

    User-selectable modulations (e.g. BPSK, QPSK, 16QAM, 64QAM)

    User-definable coding rates (e.g. 1/2, 2/3, 3/4, etc.)

    User-definable bearer efficiencies (useful bits per symbol)

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    LTE Bearers: NSN Setting (in line with dim tool)

    User bits permodulation symbol as

    per dimensioning tool

    Bearer efficiency divided by# bits per modulation

    symbol (2 for QPSK, 4 for

    16QAM and 6 for 64QAM

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    LTE Link Adaptation

    LTE Performance for different Modulation and Coding Schemes combinations

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    Reception (UL/DL) Settings (1/3)

    Reception Equipment

    Bearer selection thresholds forautomatic link adaptation basedon CINR values (Figu re 1)

    Channel quality indicator graphsbased on CINR values (Figu re 2& 3 on next sl ide)

    Peak Channel Throughput(without errors) / EffectiveChannel Throughput (witherrors). Both of them are used tomodel reception characteristicsat the mobile (DL) and at the cell

    (UL).

    (Figure 1)

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    Reception (UL/DL) Settings (2/3)

    (Figure 2)

    (Figure 3)

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    Reception (UL/DL) Settings (3/3)

    ATOLL

    Setting of NSN MCS modulation thresholdsto be in line with dimensioning tool (or otheragreed data).

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    Base stations and user equipment support MIMO systems

    Numbers of transmission and reception antenna ports at thebase station and user equipment

    Modelling of three MIMO systems: Transmit diversity

    Spatial Multiplexing

    Adaptive MIMO Switch (AMS)

    Multiple Input Multiple Output Systems (1/2)

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    Transmit Diversityimproves theC/(I+N)Usually used in coverage areas

    with bad radio conditions

    Spatial Multiplexingimproves

    throughputUsually used in coverage areas

    with good radio conditions

    AMS-capable equipmentcan switchfrom Spatial Multiplexing to TransmitDiversity as the radio conditionsworsen

    Multiple Input Multiple Output Systems (2/2)

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    Services

    Modelling of Voice and Data services Support for service prioritiesconsidered for scheduling and RRM

    Modelling of traffic demand parameters:

    Minimum throughput demand = GBR

    Maximum throughput demand = MBR Activity factor for voice type services

    Modelling of application layer overheads

    Mobility Types

    Modelling of mobile speed

    Used for bearer selection, and channelquality indicator graphs

    Services Settings

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    Terminal Equipment Properties (1/2)

    UE properties

    Reception equipment

    Minimum and maximum transmissionpowers

    Gain, losses, and noise figure

    Antenna

    You can assign a directionalantenna which is considered incalculations

    Optional MIMO support

    Number of transmission and receptionantennas (MIMO)

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    Terminal Equipment Properties (2/2)

    User Properties

    Define service usage characteristics for different types of users

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    Module Contents

    ATOLL for LTE: Basic Concepts & SettingsTraffic Modelling

    Monte Carlo Simulations

    MIMO in ATOLL

    Creating Traffic Maps in ATOLL

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    Live Traffic Data

    Vector Traffic Data

    Raster Traffic Data

    Subscribers

    Traffic Modeling

    Traffic can be modelled using traffic maps and subscriber lists

    You can work with different types of traffic maps: Raster traffic maps

    Vector traffic maps

    Live traffic maps

    Traffic density maps

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    Subscriber Lists

    Contain lists of fixed subscribers with related parameters

    Used for Fixed Wireless Access (FWA) network design

    Subscriber lists can be created using the mouse or imported from txt orCSV files

    Can be displayed on the map according to different parameters

    Main parameters: Subscriber ID

    Subscriber Name

    Location: X and Y coordinates

    Height of the antenna

    User profile (services usage) Terminal type (can use a directional antenna)

    Serving transmitter and cell (user-defined or calc.)

    Azimuth and downtilt (user-defined or calculated)

    Calculations on Subscriber Lists (1/2)

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    Calculations on Subscriber Lists (2/2)

    Results include:

    Serving transmitter and cell

    Azimuth and downtilt towards the serving cell Received power from other cells at the serving cell

    DL and UL C/(I+N) values, bearers, channel throughputs, diversitymode, etc.

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    Signal level based coverage plots: Best server plot

    Coverage by signal level

    Multiple server coverage

    RSRP and CNR coverage plots

    LTE-specific CINR-based coverage plots: Based on user-defined cell loads or on Monte Carlo simulation

    results

    A default UE is considered that may have a directional antenna

    (oriented towards the serving cell)

    DL and UL CINR and interference plots DL and UL best bearer coverage plots

    DL and UL throughput coverage plots

    Peak and Effective RLC Channel Throughputs

    Application Level Channel Throughputs

    Coverage Prediction Plots (1/3)

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    Coverage by Signal Level

    Number of Servers

    Coverage Prediction Examples (2/3)

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    Coverage by DL CINR

    Coverage by UL CINR

    Coverage Prediction Examples (3/3)

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    HISTOGRAM BY PULL DOWN MENU

    0

    0.32

    0.64

    0.96

    1.28

    1.6

    1.92

    2.24

    2.562.88

    3.2

    3.52

    3.84

    4.16

    4.48

    0 1 2 3 4 5 6 7 8 910

    11

    12

    13

    14

    15

    16

    17

    18

    19

    20

    21

    22

    23

    24

    25

    26

    27

    28

    29

    30

    km

    C/(I+N) Level (DL) (dB)

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    Module Contents

    ATOLL for LTE: Basic Concepts & SettingsTraffic Modelling

    Monte Carlo Simulations

    MIMO in ATOLL

    Creating Traffic Maps in ATOLL

    Monte Carlo Simulations

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    Can be performed in order to study the networkresponse to a given amount of traffic

    Can be based on traffic data from traffic maps

    and subscriber lists A snap-shot analysis of the networks behaviour

    under traffic conditions

    Monte Carlo distribution of mobile users andservices

    Calculation of user parameters (CINR, powercontrol,noise rise, resource allocation, etc.)

    Scheduling and Radio Resource Managementbased on service priorities and differentschedulers:

    Proportional FairProportional Demand

    Max Aggregate Throughput

    Allocation of resources according to servicepriorities

    Monte Carlo Simulations

    Monte Carlo Simulation Results

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    For each cell UL and DL traffic loads

    UL noise rise Calculation of aggregate cell throughputs for UL and DL

    (Peak RLC, Effective RLC, and Application Level)

    Other results and statistics

    For each mobile Serving transmitter and cell

    Azimuth and downtilt (towards the serving cell)

    Received power from and at the serving cell

    DL and UL C/(I+N)

    DL and UL best bearers DL and UL channel and user throughputs

    UL transmission power

    Number of used resource blocks in UL

    Other results

    Monte Carlo Simulation Results

    M t C l Si l ti R lt Di l bil

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    Monte Carlo Simulation Results Display - mobiles

    Si l ti O t t C ll l l

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    Simulation Output Cell level

    Detailed information regarding cell throughput and cell load

    Sitelevelstat.

    Mobile/userlevel stats

    M d l C t t

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    Module Contents

    ATOLL for LTE: Basic Concepts & SettingsTraffic Modelling

    Monte Carlo Simulations

    MIMO in ATOLL

    Creating Traffic Maps in ATOLL

    MIMO id ti i ATOLL (TX di it

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    MIMO consideration in ATOLL (TX diversity, nonAMS case)

    MIMO Gain application in non AMS case

    The gain is applied as correction to the SINR (which is further correctedby clutter specific factor - Transmit Diversity Gain Offset [dB] in ClutterMenu). The formula is applied/valid for all SINR. The gain is applied as dBcorrection to manipulate final SINR further used for bearer assignment.

    Same construction is used in UL and DL. However, tool allows to enterdifferent values to specify UL and DL.

    MIMO id ti i ATOLL (AMS )

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    MIMO consideration in ATOLL (AMS case)

    MIMO Gain application in AMS (adaptive MIMO switch) case:

    The gain is applied as correction to the SINR (which is further corrected by clutterspecific factor - Transmit Diversity Gain Offset [dB] in Clutter Menu). The formulais applied/valid for all SINR. The gain is applied as dB correction to manipulate finalSINR further used for bearer assignment. HOWEVER, The formula is applied/validonly for FIRSTLY CALCULATED SINR (SINR without any previous gain

    corrections) being BELOW SM switch threshold. The gain is applied as dBcorrection to manipulate final SINR further used for bearer assignment.

    If not the case, there are not applied SINR corrections ,but thereis applied SM Gain defined by Max MIMO Gain Graph (in MIMO cfg menu, globalparameter) further weighted by clutter specific Spatial Multiplexing Gain Factor(between 0-1). The gain is applied as muliplicative factor towards Bearer Efficiency

    (i.e. towards bearer throughput).

    Same construction is used in UL and DL. However, tool allows to enter differentvalues to specify UL and DL.

    S tti f MIMO 1) t/ t SISO b

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    Settings for MIMO 1) set/enter SISO bearersMCS thresholds for DL

    ATOLL

    S tti f MIMO 2) t/ t SISO b

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    Settings for MIMO 2) set/enter SISO bearersMCS thresholds for UL

    ATOLL

    Settings for MIMO 3) set the UL and DL gains

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    Settings for MIMO 3) set the UL and DL gains

    Default div. gains 2x2 MIMO 8.2 dB, diversity 1X2 4 dB, as per dimensioning tool

    TotalMIMO

    gain to be

    applied,including3 dB Txpower

    increase

    Setting of MIMO 4) with SM (Adaptive MIMO

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    Setting of MIMO 4) with SM (Adaptive MIMOSwitch)

    Value of AMS switch have to be entered

    Cell to be AMS enabled (Diversity Support)

    Proposed default 15dB or higher (LTE Performance SFSspeaking about SM with connection of 64QAM modulation,which might appear for SINR above 15dB, however valuearound 22-23dB is more realistic).

    Setting of MIMO 5) with SM (Adaptive MIMO

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    Setting of MIMO 5) with SM (Adaptive MIMOSwitch)

    Effect of Spatial multiplexing Throughput increase are modeled by

    Max MIMO Gain graph

    (multiplicative factor to weight

    bearer efficiency> throughput)

    Setting of MIMO 6) with SM (Adaptive MIMO

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    Setting of MIMO 6) with SM (Adaptive MIMOSwitch)

    Possible effect of Spatial multiplexing throughput increase are

    modeled by the clutter specific Spatial Multiplexing GainFactor (multiplicative factor to weight bearer efficiency throughput)

    Settings for MIMO 7) Condition MIMO to be used

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    Settings for MIMO 7) Condition MIMO to be used

    User have to use MIMO feature

    MIMO terminal to be defined 2 RXand 1TX antenna to have DLMIMO (2x2) and UL TX diversity -

    SIMO (1x2)

    MIMO INPUT VALUES SUMMARY

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    MIMO INPUT VALUES SUMMARY

    KEEP THE VALUES IN LINE WITH DIMENSIONING TOOL, so.

    UL noise figure (BTS) 2.2 dB

    DL noise figure (UE) 7dBDefault div. gains diversity (1X2): 4 dB

    MIMO (2x2): 8.2 dBconsists of 4 dB reception diversity, 3 dB TX powerincrease and 1.2 dB MIMO receiving gain over reception diversity.

    Clutter specific offsets 0dB (i.e. no impact)

    MAX MIMO GAIN (Capacity gain due to SM)between 1(no capacitygain) and 2(doubling capacity), so about 1.5.

    Clutter specific offset 1 (i.e. no impact)

    Adaptive MIMO Switch Threshold cca 15dB (LTE Performance SFSspeaking about SM with connection of 64QAM modulation, which might

    appear for SINR above 15dB, however value around 22-23dB is morerealistic)

    LTE Bearers as per NSN dimensioning tool

    UL and DL MCS thresholds as per NSN dimensioning tool (EPS05Channel, column for SISO (1x1))

    MIMO LIMITATION WITH CURRENT ATOLL

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    MIMO LIMITATION WITH CURRENT ATOLL -FORSK COMMENTS (NOV 2008)

    In the current version of Atoll, AMS (Adaptive MIMO Switch) Threshold

    is applied on UL and DL in any configuration

    In the commercial version of the LTE Module (Atoll 2.8.0 - end of2008), it will be possible to set MIMO configurations (STTD, SM, AMS,none) on DL or UL independently.

    That's partially why the current version is just a "beta / pre-release"LTE version.

    NOTEcommercial version without the above limitation from 1Q09

    Module Contents

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    Module Contents

    ATOLL for LTE: Basic Concepts & SettingsTraffic Modelling

    Monte Carlo Simulations

    MIMO in ATOLL

    Creating Traffic Maps in ATOLL

    Creating Traffic Map in ATOLL

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    Creating Traffic Map in ATOLL

    1. Create a new traffic map: "Map based on environments"

    2. Then select in the toolbox a type of environment, denseurban" for example and draw a polygon. Hit "close"

    3. Go to the data tab and edit the environment in the LTEparameters folder. On the second tab, you have "clutter

    weighting". Here you can set up a weighting based onclutter classes

    4. At this moment traffic map have been created and the clutterweighting set here will be taken into account during anycalculations.

    5. Map is there and is possible to use for simulations, but it isinvisible on GUI window as map. To see the map it isnecessary to export and import the mapsee next slide.

    Visualization of created traffic map

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    Visualization of created traffic map

    1. Go back to the geo tab, right click on traffic folder then

    "export cumulated traffic".2. Select a format (bil for example)

    3. Then you can choose the export zone (entire area orcomputation zone) and the traffic map you wish to export.

    4. If you want to really see the result, you have now to importthe traffic map.

    5. File / import and the select traffic density as map type.

    Export of Cumulated Traffic

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    Export of Cumulated Traffic

    Which areatraffic is coming

    from

    Which traffic

    density map(s)are used

    Traffic isdefined perservice (if

    service mix,

    than more than1 traffic mapexists)

    Traffic Map Creation traffic per transmitter input

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    Traffic Map Creation traffic per transmitter input

    Whole traffic table ispossible to import

    Import/Create Traffic Map based on per user

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    Import/Create Traffic Map based on per userrequested throughput per service

    Traffic Importing

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    Traffic Importing

    Imported Traffic distribution between terminal

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    Imported Traffic distribution between terminaltype, mobility and indoor/outdoor percentage

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    Appendix

    Notes

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    Notes

    Following topics are suitable to be moved to the appendix area:

    1.- MIMO in ATOLL

    2.- Creating Traffic Maps in ATOLL