Atoll 3 1 0 Technical Presentation

Confidential – Do not share without prior permission

Contents

Introduction

Atoll platform

Multi-RAT network model

Mobile technologies planning and optimisation features

Conclusions

© Forsk 2011 Confidential – Do not share without prior permission Slide 2 of 2

What is Atoll?

Multi-technology Windows-based Radio Planning and Optimisation software modelling :

LTE FDD/TDDUMTS/HSPAGSM/GPRS/EDGECDMA2000 1xRTT/EV-DOTD-SCDMAWiMAXMicrowave Links

Complete multi-technology product offering in one softwareAdvanced radio planning & optimisation platformScalable installationSoftware Development Kit allowing customisation, integration and automation

© Forsk 2011 Confidential – Do not share without prior permission Slide 3

Atoll Modular Configuration


Hardware & software environment

Windows OS based software32 and 64 bit operating systemsWindows XP Pro/Vista/ 7Server OS versions (ex. Windows + Citrix)

HardwareStandard PCSingle or multi-processor configurationsWorkstations and servers

External database support:OracleSybase Adaptive ServerMS SQL ServerMS Access


Atoll Configurations

Atoll is a scalable platform supporting flexible deployment scenarios

StandaloneLaptop or PC

Multi-userWorkstation-based Server-based (ex. Citrix)

HybridServers, workstations and laptops in one environment


Atoll Configurations

From simple to complex


Atoll platform


GIS features (1)

General featuresFast dedicated GISDynamic map samplingOpen platform

Direct support of multiple industry standard formats

RasterVectorWeb Map Service (WMS)


GIS features (2)

Multi-resolution multi-layer

Integrated cartography editorRaster editorVector/Polygon editor including definition of attributes

Integration with Arcview, MapInfo, WMS and Google Earth

Import: geographical data, traffic and population dataExport: prediction plots (e.g coverage), vectors and polygons, etc.


User & data management (1)

Advanced database architectureHigh performance internal databaseMulti-user support using standard RDBMS (Oracle, MS SQL Server, Sybase, MS Access)On-demand data synchronisationProfiles and user rights management Modifications tracking feature

Highlights:RDBMS not required for standalone configurationsOn-demand database connectionRegionalisation and partial data loading support for big networksFlexible and easy integration within operator’s IT organisation


User & data management (2)

Flexible multi-technology database model

User-definable fields and flags Customisable project templates

Intuitive import/export and migration toolsXML, ASCII,XLS or csv filesUser-definable import/export tools using macros/scripts

Powerful data management functionsAdvanced Data Grid for easy editingGraphical data selection and filtering queries


Propagation modelling (1)

Integrated propagation model library:CrossWave propagation model (developed by Orange Labs)Standard propagation model (SPM)Okumura-Hata and Cost-HataITU propagation models: 526-5, 529, 370-7 and 1546-2Longley-Rice based propagation modelEtc.

Open interface to external propagation models :

Integration of external propagation models through the Developer ToolkitFull integration of propagation models available from 3rd party developers



SPM is a semi-deterministic propagation model suited for predictions in the 150 to 3500MHz range

It is best suited to GSM 900/1800, UMTS, CDMA2000, WiMAX, and LTE radio technologiesUses Clutter and 3D building dataAutomatic and assisted tuning featuresModels basic indoor propagation

A performance of close to 7 dB of Standard Deviation can be achieved



CrossWave propagation modelFrequency range 200 MHz to 5 GHz Supports all mobile technologiesModels all cell typesSuited for all types of environment

BenefitsHigh accuracy even without tuningRobustEasy settingsGreat performanceSame model for all areas



Propagation model tuning :

Based on CW and drive test data (measurement module required)

Manual tuning using a propagation model editor

Automatic model tuning based on the Bounded Variable Least Squares technique

Assisted model tuning designed for advanced calibration

Measurement-based pathloss matrixesDrive Tests or CW data can be used to improve the propagation calculation accuracy of individual sectors


Measurement module

CW MeasurementsImport , display and analysis of CW dataPrediction/Measurement comparison and statistical analysis (mean & standard deviation)

Test mobile dataImport , display and analysis of test mobile dataGraphical replay on map combined with user- defined graphsCall events display and analysis

Automatic propagation model calibration and pathloss tuning


Development tools

Atoll scripting languageAutomation and scheduling of calculation tasks(e.g automatic nationwide coverage)Custom features developmentMacros written in Vbscript

Atoll Software Development KitC++ development resources for developersDevelopment of Atoll extensions and plug-ins Dedicated training and support services


Integration use case


3 GPP Multi-RAT network model


3GPP Multi-RAT

Designed for integrated GSM/UMTS/LTE networks in a single project

Allows multi-technology sites

Provides antenna sharing

Models Multi-technology services

Supports Common Traffic

Runs Combined GSM/UMTS/LTE Monte-Carlo simulator


3GPP Multi-RAT

Multi-Technology Network Model Common Traffic Model

Combined Monte-Carlo Simulator

Coverage & Quality


Combined Monte-Carlo Simulator

Supports GSM/UMTS/LTE radio access technologies

Technology independent traffic is shared across supported technologies

Multi-RAT services are assigned according to their priorities

Simulation results range from global performance to individual mobile failure causes

Detects capacity and quality issues


Inter-technology analysis

Inter-technology neighbours planningInter-system handover planning

Inter-technology interference analysisInter-band interferenceWide band noise


Mobile technologies planning and optimisation features


GSM/GPRS/EDGE


°15'E 4°20'E 4°25'E

50°5

0'N

4°15'E 4°20'E 4°25'E

50°50'N

GSM/GPRS/EDGE

Network modellingSupport of multiple-band networksSupport of frequency hopping (base band and synthesised)Control of frequencies distribution: frequency layers, border constraints

Network analysisNetwork dimensioningTraffic analysis

Service and interference analysisPrediction plots per cell layerPrediction plots for coverage and qualityUser equipment modelling

• Multi-Band ( ex. 900 / 1800 / 1900)• Technologie (GSM / GPRS / EDGE )


GSM/GPRS/EDGE

Neighbour list planningManual and automatic neighbour planningInter-system neighbour planning (GSM- UMTS,…)

Interference matrix generationIM can be generated from predictions, drive- test data and OMC-R measurements.

Interference matrix display toolVisual display on the mapVictim/interferer analysis


GSM/GPRS/EDGEAutomatic Frequency Planning module

Multi-layered networks supportFrequency hopping parameters (HSN, MAIO and MAL) allocationEditable cost function based on a soft penalty approachBSIC allocation

Interactive Frequency Planning toolCandidate channels list creation based on AFP cost functionVictim or interferer analysisPowerful display features

Open interface to external AFP toolsExternal AFP tools can be easily and seamlessly integrated with Atoll


UMTS/HSPA


UMTS/HSPA

Network modellingMulti-band multi-carriers networks modellingUMTS equipment modelling including RRM and inter-carrier resource sharing

Service modellingAdvance Service and User Equipment modellingVoIP modellingHSPA and HSPA+ modelling including:

• DC-HSPA• MIMO

Multimedia Broadcast and Multicast System modelling


UMTS/HSPA

Traffic modellingMulti-service traffic mapsModelling of R99/HSPA traffic mixFlexible traffic definition methods:

• Live traffic spread• Populations files (MapInfo/Arcview)• Linear and area spreading• Any combination of raster and vectors

Clutter weighting functionIndoor ratio on a per clutter class basis


UMTS/HSPA

W-CDMA simulationState-of-the-art WCDMA simulator (Monte-Carlo based) supporting R99, HSPA and HSPA+Multi-carrier allocation and RRM algorithmsStatistical analysis of terminal distributions (mean / standard deviation) User-definable simulation areas

Simulation management and controlMultiple simulation groupsManagement of large areas through a regional splitting techniqueBatch mode and parallel calculations


UMTS/HSPA

Predictions studiesBased on simulation results or user-defined load valuesPilot coverage and pilot quality analysisServices areas (DL, UL, effective)Interference analysis (pilot pollution, noise rise…)Quality analysis (BER, BLER, FLER…)HSDPA/HSUPA dedicated analysis

• Control/Traffic Channels quality• Throughputs and rates

Handover analysis

Analysis tools and reportingGraphical point analysis toolMulti-vendor hardware resource dimensioning (channel element dimensioning)Comprehensive and flexible reports on user- defined areas


UMTS/HSPA

Neighbour planningManual and automatic multi-carrier neighbour planning

Scrambling code planningAutomatic Scrambling Code allocationScrambling Code plan consistency checkScrambling Code interference analysis


4. LTE


LTE

Multi-Technology Network Model Common Traffic Model

LTE Monte-Carlo Simulator

Coverage & Quality


Network and Radio Parameters Modelling

Supports Evolved UTRA (3GPP Release 8 LTE) Networks

Various frequency bandsScalable channel bandwidthsResource blocks per channel and sampling frequenciesFDD and TDD frame structuresInter Cell Interference Coordination (ICIC) UL/DLFractional UL power controlHalf-frame/full-frame switching point periodicities for TDDNormal and extended cyclic prefixesDownlink and uplink control channels and overheads (Downlink and uplink reference signals, P-SCH, S-SCH, PBCH, PDCCH, PUCCH, etc.)Physical cell IDs


Network and Radio Parameters Modelling

Supports Evolved UTRA (3GPP Release 8 LTE) Networks

Coverage planningQuality analysisNetwork capacity analysis using Monte Carlo simulationsScheduling and resource allocation in two-dimensional framesBeam formingMultiple Input Multiple Output (MIMO) systems

• Transmit and Receive Diversity• Single-User MIMO (Spatial Multiplexing)• Adaptive MIMO Switch (AMS)• Multi-User MIMO (Collaborative MIMO) in

uplink

Automatic allocation of neighbours, physical cell IDs, and frequencies (AFP) (Optional)


Network Parameters

Network-Level ParametersCyclic prefix

PDCCH and PUCCH channel overheads

Switching point periodicity for TDD frames

Uplink power control margin

Serving cell layer selection

System-level constants (Hard-coded in Atoll)• Width of a resource block (180 kHz)• Frame duration (10 ms)

Other control channel overheads defined by 3GPP (calculated based on 3GPP specs)

• Reference signals, P-SCH, S-SCH, PBCH, etc.


Network Parameters

Bearers (Modulation and Coding Schemes)User-selectable modulations (QPSK, 16QAM, 64QAM)

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

User-definable bearer efficiencies (useful bits per resource element)

User-definable reception characteristics• Bearer selection thresholds for link adaptation• Quality indicator graphs• BLER used to model the effect of errors in data reception


MIMO Systems

Multiple Input Multiple Output SystemsSupported MIMO systems:

• Transmit and receive diversity• Improves the CINR

• Single-User MIMO (SU-MIMO) (or Spatial Multiplexing)• Improves throughput

• Adaptive MIMO Switch (AMS)• Can switch from SU-MIMO to Diversity as the

radio conditions worsen

• Multi-user MIMO (MU-MIMO) (or Collaborative MIMO) in uplink

• Improves cell capacity in terms of number of connected users


Beamforming

BenefitsCoverage improvement

Interference level reduction

Capacity increase

ModellingGenerated using Monte-Carlo simulationCalculates AAS usageTakes into account overhead due to AASUsed in Predictions and SimulationsCan be combined with MIMO systems


CPDSCH_Int

CPDSCH_Int

Traffic Modelling

Traffic DataTraffic maps and subscriber lists

Various types of traffic maps:• Raster traffic maps• Vector traffic maps• Live traffic maps• Traffic density maps

Live Traffic DataLive Traffic DataLive Traffic Data

Vector Traffic DataVector Traffic DataVector Traffic Data

Raster Traffic DataRaster Traffic DataRaster Traffic Data

SubscribersSubscribersSubscribers


© Forsk 2011

Traffic Modelling

ServicesModelling of Voice and Data services

Support for service priorities considered 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

Confidential – Do not share without prior permission Slide 45

© Forsk 2011

Traffic Modelling

Terminal Types (UE)Minimum and maximum transmission powersAntenna, gain, losses, and noise figure Reception characteristicsOptional MIMO supportNumber of transmission and reception antenna ports

User ProfilesService usage characteristics for categories of users

Confidential – Do not share without prior permission Slide 46

Coverage Predictions

Coverage PredictionsSignal level coverage plots:

• Best server plot based on downlink reference signal levels• Multiple server coverage based on downlink reference signal levels• Reference signal, SCH/PBCH, PDSCH, and PUSCH signal level plots• Reference signal, SCH/PBCH, PDSCH, and PUSCH CNR plots

Quality analysis:• Can be based on user-defined cell loads or on Monte Carlo simulation results• Reference signal, SCH/PBCH, PDSCH, and PUSCH CINR and interference plots• Best bearer plots based on PDSCH and PUSCH CINR levels• Throughput and cell capacity per pixel plots based on PDSCH and PUSCH CINR levels

• Peak RLC, effective RLC, and application throughputs• Peak RLC, effective RLC, and application cell capacities• Peak RLC, effective RLC, and application aggregate cell throughputs

Confidential – Do not share without prior permission© Forsk 2011 Slide 47

Coverage Predictions

Coverage Prediction Examples

Coverage by Signal LevelCoverage by Signal Level Number of ServersNumber of Servers

Coverage by DL CINRCoverage by DL CINR Coverage by UL CINRCoverage by UL CINR


Monte Carlo Simulations

Monte Carlo SimulationsFor studying network capacity

Network behaviour under given traffic

Distribution of mobile users and services

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

Scheduling and radio resource allocation based on service priorities and scheduling methods:

• Proportional Fair• Proportional Demand• Max Aggregate Throughput


Monte Carlo Simulations

Simulation ResultsCell level

• UL and DL traffic loads• UL noise rise• UL and DL aggregate cell throughputs• Traffic input and connection statistics• …

Mobile level• Serving transmitter and cell• Azimuth and tilt (towards the serving cell)• Reference signal, SCH/PBCH, PDSCH, and

PUSCH signal levels• Reference signal, SCH/PBCH, PDSCH, and

PUSCH CINR and interference levels• Best bearers based on PDSCH and PUSCH

CINR levels• Cell throughputs, cell capacities, and user

throughputs PDSCH and PUSCH CINR levels• Connection status and rejection cause• …


Automatic Optimisation Features

Automatic and Manual Neighbour PlanningAutomatic allocation based on a hard-handover criteriaPossibility to import existing neighbour listsManual and graphically assisted neighbour allocation

Automatic Physical Cell ID PlanningBased on neighbour and distance relationsAllocation of S-SCH IDs and P-SCH IDs

Automatic Frequency PlanningBased on interference matrices, neighbour, distance relationsPossibility to lock frequencies for cellsCan work with more than one frequency band in the same documentCan also allocate physical cell IDs taking interference matrices into account


5. CDMA2000 1xRTT/EV-DO


CDMA2000 1xRTT/EV-DO

Network Model Traffic Model

CDMA Monte-Carlo Simulator

Coverage & Quality



Network modellingEquipmentMulti-vendor Radio ResourcesSupport for Repeaters

Carrier modellingFlexible frequency bandsMulti-carrier supportMulti-carrier operation (1xEV-DO Rev. B)Carrier type support: 1xRTT, 1xEV-DO

Service and radio configuration modellingService modelling: voice, VoIP, 1xRTT data, 1xEV-DO (rev. 0, rev. A and B)Radio configuration modellingService quality tables1xRTT, 1xEV-DO rev. A and B radio bearer modelling



Traffic modellingMulti-service traffic databaseMultiple traffic types:

• Live traffic data• Traffic map generation from population files (MapInfo, ArcView)• Traffic spreading within polygons and along vectors• Raster traffic demand maps

Clutter weighting function

Live Traffic DataLive Traffic DataLive Traffic Data

Vector Traffic DataVector Traffic DataVector Traffic Data

Raster Traffic DataRaster Traffic DataRaster Traffic Data

Population DataPopulation DataPopulation Data



CDMA simulationAdvanced and proven CDMA simulator (Monte-Carlo based)Modelling of mixed 1XRTT / 1xEV- DO trafficMulti-carrier allocationService downgrading and RRM modellingUser-definable simulation parameters (number of snapshots, convergence criteria)Statistical analysis of terminal distributions (mean/standard deviation)Batch mode and parallel calculations



CDMA prediction studiesPilot quality plotsForward and reverse Eb/Nt coverage mapsService areas with rate prediction1xRTT/EV-DO specific plotsHandoff type plotsNumber of servers and pilot pollutionand more…

Neighbour and code planningManual and automatic neighbour planningMulti-carrier neighbour planningPN offset allocation and analysisPN offset interference plots


ACP


Atoll ACP

Unique concept of ACP implemented as an integrated Function of the Planning Tool

Easy to use & administrateOne GUI for RF Planning & ACPCommon HW and system infrastructureCommon database

Automatic Cell Planning to increase Coverage and Capacity

Site selectionAntenna selection & parameter optimisation (azimuth, mechanical & electrical tilt, height)Pilot Power…


Atoll ACP

Available for GSM, UMTS, LTE and WiMax modules

Designed to support multi-technology GSM/UMTS/LTE networks

Green field as well as existing network optimisation scenarios

Complex multiple objective criteria

Allows to weight required changes against possible improvements


Atoll ACP

Optimisation features:Network coverage and qualityNetwork capacity

Through automatic adjustments of selected network parameters

Site selectionAntenna parameters

• Type • Azimuth and mechanical tilt• Electrical downtilt

Transmit Power (Pilot)

User-driven optimisation processSurface / traffic-based optimisationConvergence criteria

Full use of live network dataTuned propagation modelsDrive-test calibrated pathloss matrixes


Atoll Highlights

Advanced radio planning & optimisation features

Robust & scalable platform

Integrated optimisation tools (AFP/ACP)

Software Development Kit allowing customisation and integration

Strong and focussed customer support organisation


Documents

Atoll 3 1 0 Technical Presentation