文本教案成果forte overview presentations

1、ForteIntroducing ForteForte enables operators to automatically maximize quality, capacity and coverage of GSM/GPRS/EDGE networks, using Mobile MeasurementsForte Best-in-Class Multi Vendor OptimizationAutomatic Frequency Planning Concurrent optimization of complex schemes (dual-band, UL/OL)Simultaneo

2、us optimization of all hopping scenarios (NH, BB, SFH)Coordinated Voice/Data (GPRS/EDGE) services optimization Advanced Neighbor-list OptimizationIdentifies missing/redundant neighbor relationsReports handover parameter discrepanciesSophisticated Load Balancing Parameter Optimization Traffic-Based H

3、andovers (TBHO)Hierarchical Cell Structure (HCS)Power Budget Margin (PBGT)Half Rate (HR / AMR-HR)Forte Analysis and TroubleshootingState-of-the-art QoS performance simulatorValidate accuracy of interference matrix (model) Benchmarking baseline vs. proposed configurationsInterference and coverage-bas

4、ed quality analysisInnovative Network Design AnalysisSectors with Wrong AzimuthSwapped Sectors (cross feeders)Overshooting SectorsCoverage-Limited SectorsBuilt for ongoing troubleshooting tasksPrecise Interference Matrix based on Mobile MeasurementsImproved 32%Forte Building BlocksState-of-the-art G

5、SM Performance SimulatorBest in class Optimization EngineInnovativeNetwork DesignanalysisBCOvershooting SectorsAffected area spans over 27km TroubleshootingAnalysis & Optimization WorkflowAnalysis & Optimization WorkflowNetworkOSSConfig & StatsForteProvisioningOptimizeRetrieveImplementCollectMulti-V

6、endor Data Source MMR, NW configuration, PM dataConfigurationChangesPerform Analysis and Optimization ActivitiesScriptsCollection scripts:MMR, NW Configuration PM data Case Studies8Project Goals:Improve network DCR (Drop Call Rate)Project Scope:Tier-1 Operator (APAC)Over 400 sectorsUrban environment

7、Average of 4-6 TRXs per sectorNokia equipment6.2MHz (31 frequencies)Optimized Features:Frequency planBCCH/BSICMAL lengthMAIO/HSNQE Correlation:Over 90% Case Study Improving KPIs Single RF engineer 10 working daysBaselineImplementedBSCHO Fail DCRCSSRDL Bad QualUL Bad QualTraffic (Erlang)Before6.30%1.

8、20%97.59%2.98%4.44%6758 ErlAfter5.41%1.01%98.01%1.77%2.92%6970 ErlDelta14.13%15.83%17.43%40.60%34.23%+3.14%Reframing Spectrum - RussiaPROJECT GOALS:Spectrum reduction of 2MHz in GSM900 bandPROJECT SCOPEDual Band GSM900/DCS1800 network (Samara, Russia)Over 400 sectorsSiemens equipmentGSM900 8MHz (40

9、frequencies), DCS1800 12MHz (60 frequencies) BeforeAfterImprovementTCH Drop Rate1.03%0.78%24.2%Minute Per Drop87.3%113.5%30.1%SDCCH Drop Rate1.09%0.75%30.7%Call Set Up Success Rate98.4%98.6%12.3%Intercell HO Success Rate95.31%95.43%2.5%HO Due Bad Quality DL9.36%4.7%49.8%HO Due Bad Quality (Both Link

10、)17.9%14.0%21.8% Bad Quality DL2.3%1.7%27.4% Bad Quality UL3.9%3.7%4.9%Huawei BSC900 Project OverviewPROJECT GOALS:Improve network Drop Call Rate (DCR)PROJECT SCOPETier-1 Operator (Turkey)Urban environment (Ankara)GSM900 networkNetwork infrastructure Huawei BSC6900 Optimization area: 13 BSCs (2601 s

11、ectors)Frequency optimization (24/12/2010)Huawei BSC6900 Project ResultsSignaling Drop Rate (SDR) & Drop Call Rate (DCR) improved“I would like to share the good results with TEOCO. At least 25% improvement has been received”13Huawei BSC6900 Project Results (cont)Handover Success Rate (HOSUC) & Call

12、Setup Success Rate (CSSR) improved Huawei BSC6000 Project OverviewProject GoalsImprove network KPIsProject ScopeTier-1 Operator (Uzbekistan)Urban environmentGSM900/1800 networkNetwork infrastructure Huawei BSC6000 Optimization area: 198 sectorsOptimization Scope (12/5/2008):Neighbor list optimizatio

13、nFrequency Plan optimizationHuawei BSC6000 Project NW EvaluationNW evaluation predicted significant reduction in interferenceBeforeAfterImprovement Rate (%)Call Setup Success Rate98.27 99.63 78.65 Call Success Rate97.63 99.01 58.18 HO Success Rate94.72 96.81 39.63 HO Failure Rate5.10 3.10 39.18 Drop

14、 Call Rate0.64 0.61 4.89SDCCH Call Drop Rate0.17 0.15 13.34 SDCCH Assignment Failure1.28 1.04 19.22 TCH Drop Call4.58 4.16 9.11 Minutes Per Drop150.02 164.76 9.82 DL Bad Quality (RxQual 5 - 7)3.84 2.63 31.39 UL Bad Quality (RxQual 5 - 7)2.14 1.84 13.69 Huawei BSC6000 Project ResultsSpectral Efficien

15、cy Case StudySpectral-Efficiency Project OverviewProject GoalsImprove network quality (targeting major KPIs)Increase Spectral Efficiency (via tighter BCCH reuse)Project ScopeTier-1 Operator (India)Urban environment (Jaipur)GSM900 network (6.2 MHz)Ericsson network infrastructureOptimization area: 129

16、2 sectorsFrequency optimization (BCCH/TCH, BSIC, MA list length, and HSN/MAIO)Network Model ValidationFortes Quality Evaluator was used to evaluate the accuracy of the mobile measurementsbased network model:Forte achieved 86% correlation between predicted vs. measured network quality Predicted Netwo

17、rk Performance Evaluation of the proposed frequency plans illustrated significant network-quality improvement over the baseline plan:Forte predicted 40% improvement in network quality! Results Analysis KPI ImprovementThe results show significant improvement in all measured KPIsNetwork busy-hour traf

18、fic increased by 7%KPIAveraged 5-day result (%)Improvement (%)Baseline (Pre)Phase 1 (Post)Phase 2 (Post)Phase 3 (Post)Phase 1Phase 2Phase 3SDCCH Drop1.141.050.821.117.4227.893.01TCH Drop1.090.990.910.929.7916.3715.65HOSR96.3597.4598.3198.1730.0853.5649.88TSR99.2099.3399.3799.3515.2420.4218.46RXQual

19、DL (5-7)22.6517.9614.8311.8320.7134.5347.79RXQual UL (5-7)7.726.366.064.7417.6321.5638.59Traffic (Erlang)23852.5624080.9225358.1625682.670.966.317.67Project Summary40% improvement in network quality Immediate traffic gain of 7%33% overall Spectral Efficiency enhancementForte identified a potential t

20、raffic increase of up to 45%, while maintaining QoSUMTS900 Spectrum Re-farming Case StudyCARVE-OUT BALANCEANALYZE NETWORKAUDITAnalyze network performance, processes & configuration to meet carve-out goals TRAFFIC MANAGEMENTMulti-Vendor, Multi-Technology Traffic ManagementSPECTRUM RE-FARMINGGSM netwo

21、rk frequency & neighbor-list optimization for successful UMTS900 deploymentUMTS900 Spectrum Reframing Project OverviewProject GoalCarve out 5MHz from 900MHz band for UMTS900 deploymentProject ObjectivesMaintain KPI level after carving out spectrumIdentify the best frequency allocation pattern Provid

22、e UMTS900 service without interference from GSM900Project ScopeTier-1 GSM Operator (Thailand)Available GSM900 spectrum - 17.4 MHzNetwork infrastructure vendor NokiaOptimization Area - 90 sectors Buffer Area - 202 sectors StageDaysOptimization Area definition-Mobile Measurement Collection Planning1Mo

23、bile Measurements Collection 5Network Model creation & validation1Frequency Planning (multiple scenarios)1Evaluate & compare frequency plans1Provisioning results1Total:10UMTS900 Spectrum Reframing Project TimetablePredicted Network Performance Fortes QoS Simulator was utilized to evaluate 4 proposed

24、 frequency plans in comparison to baseline network performance.Ad-Hoc SFH per Sector plan was selected for implementationResults Analysis KPI ImprovementThe results show stability in all measured KPISKPIBefore(%)After(%)Call Drop0.490.49SDCCH Drop3.78 2.85 *OHOFR0.880.92IHOFR0.880.88DLQuality 0-499.

25、3399.34ULQuality 0-499.1399.19DL Packet Access Success98.5898.84UL Packet Access Success97.1297.05DL EDGE Throughput per TBF170.68173.59UL EDGE Throughput per TBF51.5750.4* POC Parameters AlteredProject SummaryNetwork KPI performance was maintained Efficient planning process - 1 Month vs. 10 DaysAcc

26、urate what-if scenario simulation using Fortes QoS simulator, allowing selection of the best plan without trial & errorTRAF TCHACCTCH DROPTCH BLOCKTCH AVAILUNSUCHOFERRXQUAL GOODRXQUAL ACCEPRXQUAL BADBefore53976197.85%0.86%0.42%99.17%2.16%2.34%79.35%14.41%6.24%After52082398.50%0.73%0.32%99.08%1.68%1.

27、97%89.09%7.28%3.63% improvement-3.51%30.30%15.02%23.36%0.09%22.35%16.02%47.18%49.51%41.81%LA Optimization ResultsProject ScopeUrban environment (3000 sectors)Neighbor-list & Frequency plan optimizationNetwork infrastructure vendor Ericsson (GSM900/DCS1800)15% improvement in Drop Call Rate (DCR)30% i

28、mprovement in Accessibility23% decrease in Blocking48% improvement in Voice QualityLA (Feb 2010) Optimization ResultsHR TrafficFR TrafficAccessibilityTCH Drop RateHOFailureTCHCongestionQuality KPI IndicatorsBadDL BadUL GoodDL GoodUL AccepDL AccepULBefore5651251798.2%0.7%2.9%1.2%4.00%7.00%86.16%83.33

29、%9.83%9.67%After5854221698.7%0.5%2.5%1.0%2.01%3.77%93.84%91.86%4.15%4.37%Improvement3.59%-11.93%28.82%26.64%15.80%14.39%49.76%46.14%55.47%51.21%57.79%54.88%LA (Feb 2010) Optimization ResultsProject ScopeUrban environment Neighbor-list & Frequency plan optimizationNetwork infrastructure vendor Ericss

30、on25% improvement in Drop Call Rate (DCR)30% improvement in Accessibility15% decrease in Congestion 50% improvement in Voice QualityTraffic Load Balancing Case StudyLoad Balancing Optimization MethodsTraffic-Based Handovers (TBHO)Initiated due to excess traffic load on serving sectorExcess traffic l

31、oad is diverted to unloaded neighboring cellsHierarchical Cell Structure (HCS)Prioritization between different network layers and bandsExcess traffic is diverted to capacity (prioritized) layersPower Budget Margin (PBGT)PBGT Hysteresis alter cell coverage area (constant)Handover Failure Reduction -

32、Utilizing HCS & PBGTHalf Rate (HR or AMR-HR) threshold optimizationLoad Balancing Optimization WorkflowHRTBHOHCSPBGTMaintain excess load on sector level firstKeep calls in Ideal RF conditionsManage excess load by diverting it to neighboring cells automatically & only when needed (BH)Manage excess lo

33、ad by diverting it to neighboring cells in a capacity layer (DSC1800)Manage excess load by altering HO hysteresis. Applies for the entire dayand not only in Busy Hour (24/7)Load Balancing Project OverviewProject GoalsBalance network traffic during peak hoursMaintain current traffic load during off-p

34、eak hoursProject Scope , IsraelNokia network infrastructureOptimization area: Urban clusterLoad Balancing via Traffic-based Handovers (TBHO)Load Balancing Peak Hour ResultsImplementationLoaded Sectors Traffic decreased by 6% during Network Peak HourLoad Balancing Off-Peak Hours ResultsImplementation

35、Off-peak hours traffic was maintained. Load balancing is automatically activated during peak hour onlyTBHO Load Balancing BenefitsGeneric TBHO load balancing featureTraffic-based handovers are triggered only in peak hour without affecting the rest of the dayOff-peak traffic is maintained in ideal RF

36、 conditions without risk of performance degradationTBHO parameters are defined in Sector level and not relations level, minimizing configuration changes 518 Sectors11 overloaded sectors identified 9 overloaded sectors identified 873 Sectors Traffic Management Project OverviewProject GoalsOffload con

37、gested sectorsProject ScopeTier-1 Operator (Thailand)Network infrastructure Ericsson 1391 SectorsLoad Balancing via HCS & TBHOTraffic Management Project HighlightsProject Objective: To improve network utilization through traffic load balancing using Forte: Overall Project ResultsAn over 7% increase

38、in Daily Traffic A 29% decrease in Daily BlockageRama Cluster Results An 8.5% increase in Daily Traffic A 60% decrease in Daily BlockageSilom Cluster Results A 4.7% increase in Daily Traffic An 18% decrease in Daily BlockageDaily Traffic - Rama & Silom41TEOCOs load balancing activities resulted in a

39、n over 7% increase in daily trafficAverage Traffic BeforeAverage Traffic AfterDaily Traffic7.69% increaseDaily Blockage Rama & Silom42Average Blockage BeforeAverage Blockage AfterDaily Blockage29.1% decreaseTEOCOs load balancing activities resulted in a 29% decrease in daily blockageDaily Traffic -

40、Overloaded Sectors43TEOCO identified and optimized the 20 most overloaded sectors in the NW. Load balancing activities successfully decreased traffic in these sectors by nearly 8%. 7.97% decreaseAverage Traffic BeforeAverage Traffic AfterDaily TrafficDaily Blockage - Overloaded SectorsTEOCO identifi

41、ed and optimized the 20 most overloaded sectors in the NW. Load balancing activities successfully decreased blockage in these sectors by 70%. 69.99% decreaseAverage Blockage BeforeAverage Blockage AfterDaily BlockageDaily Traffic Offloaded TBHO & HCS45TEOCO successfully shifted traffic from overloaded sectors to neighboring sectors using TBHO and HCS methods. The graph