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HSPA+ Optimization Process

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NOKIA HSPA Optimization Flow

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  • HSPA+ Optimization Process

  • Pre-opt start listRET report Feeder Loss values auditCommissioning/SCF/FTM config auditsBFD/AAV auditCapacity audits and report from capacity team

    Cluster Identification process (planning and performance) including asset analysis, liberty server CQI reports etc

    Optimization process using KPI and drivetest.Explain the flowchart for KPI analysisNew actix processUsing actix for KPI and drivetest analysisOPTpcs

    Change requestsProcess for identifying and approving the requests needs to be worked out between the local market engineers and HSPA+ assigned resourcesTo be approved by t-mobile employeeResult verification against the reported CQIExit criteriaSummary

  • Flow of Optimization work

  • Flow of Optimization work contd.

  • Detailed Optimization flow

  • Parameter Audit( If HSPA+ is enabled)

    Audit on all Parameters on RNC and Node B Level.To make sure they are consistent with the HSPA+ MOP. Regional tool/script can be used for Parameter AuditRNC/OSS SME Verification of all HSPA+ and HSUPA featuresTo make sure if all the required features in all sites and RNCs implemented as planned.List out the Parameter and Feature inconsistencies and correct themThis step is required first before proceeding with any Optimization activities.

  • Basic Capacity Check Address the following baseband requirement based on the national capacity guidelines FSMxAdditional T1 or AAVHS scheduler

    RET VerificationEnsure RET commissioning is complete RET/Actuator information are in place

  • Feeder LossFeeder Loss is an important design aspect maintain coverage, capacity & performanceLarge feeder losses will reduce CPICH and the effective coverage area of the cell - Other inconsistent values may affect Power Control & RTWP

    Identify sites with more than 3dB loss, using the Feeder Loss Dashboard link given belowOn high feeder loss sites, Utilize latest sweep values, if available to adjust OSS parameters.If high feeder loss is accurate, identify site for possible mitigation for a long solution as belowFeeder modificationRRU implementationNote: These long term solutions will not be implemented during this period of optimization. Feeder Loss Dashboard

  • Prioritize clusters

    Prioritize clusters = (% of bad CQI) * ( HS traffic) -1st priority = quality clusters From high to low traffic -2nd priority = RSCP clusters From high to low traffic

    Note: All problem areas in the cluster even with planned new sites will still need to be analyzed and optimized to its full potential

    Exceptions

    - Bad CQI Sites at coverage edges

    For Regions Only2nd Priority1st Priority

  • Define Problem Areas

  • Problem Area Major KPI CQI

  • EXIT Criteria To meet Baseline KPI All entry & exit criteria should be measured on a one week average for comparison The same criteria will be used to monitor the cluster performance during optimization Above listed TPIM KPIs are expected to be maintained or improvedJustification needed for 8&9 if value degraded by 2% ( to be validated from trial) Note: These KPIs(1-8) are available in TPIM under the content browser by running the report NSN HSPA KPIs. TPIM (9) can be found: http://dev.reportcenter.internal.t-mobile.com/Reports/Pages/Folder.aspxunder National Performance Reports E2E 3G Leakage Reports

    Sl. No.KPIsExit Threshold (Market wise)1CQINumber of Cells with >5% in CQI 0 to 10, to reduce by 80% AND Market wise CQI above 10 > 98%TPIM KPIs1Voice Access Failure rate (%)

  • Optimization KPI Reporting OnlyBoomer Index: The UMTS PRACH Delay propagation measurements are compared against the co-located GSM cell radius. A calculation is then performed based on a weighted averageOf HHO distances between the cell and its neighbors. Any instance where the 3G cells radius exceeds the 2G cells radius >= 1.5 is flaggedDL Capacity Index: The Average Power per user is calculated taking into account Voice Power/RL, RT SHO & Cable loss. Any cell where the Avg Power/User is > 27dBm is flaggedUL Capacity :uplink noise rise. Busy hour minus least busy hour

    Sl. No.KPIs1 Boomer Index - 3G coverage vs Co-loc 2G Coverage =>1.52 DL Capacity Index - Power per User, SHO Overhead , 500mwatts3 UL Capacity Index RTWP, =>3dB @ busy hour

  • Cluster/problem area Drive KPIs Reporting OnlyAll KPIs below are only for Optimization purposes

    1HSDPA Application Throughput2HSUPA Application Throughput3HSDPA Access Failure Rate4HSDPA Drop Rate5HSUPA Access Failure Rate6HSUPA Drop Rate7% of time HS UE was served on R99 data (DCH)864 QAM Modulation Rate9UE Reported CQI10No. of HS Cell Changes11HS-PDSCH Code Usage12Scanner Based - Too Many Servers

  • Data / KPI CollectionTPIM Report / KPI CollectionPropagation Delay reports (from Liberty Server or TPIM content browser) can be used to identify the proximity of mobiles and cellUtilize liberty report for optimization and analysisSHOPRACHPower/userBoomer IndexRTWPAll other KPIs (including EXIT KPIs) need to be collected and stored for bench marking purpose.From the content browser in TPIM use and run the report NSN HSPA KPIs

  • Detailed Drive In Problem AreasDetailed Street level Drive Test is for the optimization purpose in the Problem AreasFollowing is the drive test setup for the Problem Area Detailed DriveScanner Analysis is mandatory

    HSPA+ Problem Area Drive S14DeviceModePriority Configuration DetailsFunctionScanner (MS1)DualMandatory Dual-mode scanner Dual-mode scannerVoice Long (MS2)UMTSAdditional1800 sec duration & 10 sec gapDCR, QualityHSPA (Rocket)(MS3)UMTSAdditionalHSDPA FTP DL - 30MB & HSUPA UL - 3MB AFR, DCR, Throughput, CST

  • ACTIX ONE/OptPCS AnalysisUsing the drive data from the detailed drive in problem areas, following analysis can be done. DL and UL Coverage Analysis using Scanners RSCP, Ec/Io and UEs TX Power and BLER. Identify weaker coverage areas and provide solutions to improvePilot Pollution Analysis using Scanner data Identify areas of where there is no single dominant pilot. Improve the servers coverage and reduce the interferers. Identify the boomer cells and control them. Identify areas with high SHO overhead and provide solutions to reduce itPilot pollution analysis for data should be done little more aggressively than for voice. Voice can manage with multiple servers, but for the best data performance it needs only one dominant server.DL and UL Data Throughput Analysis In the areas of weaker throughput, correlate it with coverage, and cell capacity KPIs. Identify if it is a coverage / quality issue or a capacity issue. Provide solutions as needed to improve the throughput.CQI target for areas of higher throughput requirement For hotspot areas to achieve better data performance a higher CQI should be targeted (say, => 25). HSPA Cell Change Analysis Correlate the cell change locations with Too Many Server locations. Try to find solutions to reduce the number of cell changes in the driven area.Event Failure Analysis Identify and resolve any drops, blocks, IRAT failures, etc that may have happened in the drive.

  • Actix One Analysis Flow

  • OptPCS Analysis Flow

  • Drive Test naming conventionSample: For Dallas= SODA_C01a_S14_K01_D01_05252010_001.log

    S14 mobility name

  • Sample Process & Asset Set-upAsset Set-up & procedureSample problem area procedureProblem area log tracker

  • Performance Improvements via Capacity EnhancementsPerformance Improvements via Capacity Enhancements document link: http://docs.eng.t-mobile.com/InfoRouter/docs/~D2271915

  • Progress Reporting

  • Confidential and Proprietary Information of T-Mobile USA*CQI Optimization Progress TrackingHSPA+ Project ProgressWeek Ending July 1st 2010Optimization Status Update

  • Cells Where CQI samples (Range 0-10) Total More Than 5% Of All SamplesHSPA+ Project ProgressWeek Ending July 1st 2010Data Source: CQI Dashboard from Liberty Report Center Optimization Status Update

  • National CQI Trending Cells Where CQI (Range Of 0-10) Total >5% Of SamplesHSPA+ Project ProgressWeek Ending July 1st 2010Data Source: CQI Dashboard from Liberty Report Center Optimization Status Update

  • T-PIM KPI ReportingReports now available in T-PIM for KPIs to be monitored

  • CQI distribution reporting per clusterCluster DA00Cluster CQI distribution reporting based upon Asset clusterdefinition.

    Begin vs End of project comparison in terms of CQI distribution (graph 2)

  • Modulation DistributionSimilar reporting based upon the used modulation technique in the cluster.

    FSC reported WoW report for CQI

  • Program Tracker

  • Regional Level

  • Market Level

  • Activities List

  • Preliminary Justification Package

  • HSPA+ High Cost Site Mod PackageCarolina8CO0517CCluster: CR_01

    Solution TypeFiber on Tower ConversionAntenna RelocationAntenna ChangeAntenna Height Change3G Macro Site Addition3G Micro/Pico Site AdditionPriorityCriticalImportantNeededOtherExpected Cost$ Before AfterAntenna TiltsOptimization Efforts Completed to DateParametersNeighborsOtherPOPS:R99 Traffic:HS Traffic:Before StatsCQI AVG:Ec/Io AVG:RSCP AVG:POPS:R99 Traffic:HS Traffic:After StatsCQI AVG:Ec/Io AVG:RSCP AVG:Drive Test< 30 DaysImplementation Time 30-60 Days60 90 Days6-12 months90 180 Days12-24 monthsOther notes of interest: ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

  • Other information on Map Store Locations BANS POPSHSPA+ High Cost Site Mod PackageCarolina8CO0517CCluster: CR_01

    Three RSCP levels compound array at Ec/Io =12db -92 dBm indoor RSCP -97 dBm indoor RSCP -105 dBm indoor RSCP 50% loading/or preferably TPIM traffic Before and After Maps On Air SitesPlanned or Proposed Sites or sectorGSM only on-air site Solution TypeThis box lists the most common solutions that would fall into the high cost site mod category.Other Solutions can be written in under the other categoryPriorityPriority is based on customer impact against other sites that need modifications. Expected CostInclude all costs associated with planning and implementing this solutionOptimization Efforts Completed to DateAnswers the question of what has been completed to date to improve the performance of the area in questionBefore StatsAfter StatsLists basic KPIs before any optimization had been performed on the area in questionLists basic KPIs after the low cost optimization changes had been completed.

    This is NOT a prediction of performance after this package is implementedDrive Test MapsAt a minimum this map needs to contain RSCP and Ec/No drive test of the area question

    Use offset feature to display both features on the same map

    Display 3G and 2G sites. Each colored differently preferably using the above legend

    Overlay RSCP and Ec/No legend Implementation TimeThe forecasted amount of time it will take to implement this solution from the date of approval

    **************T-Mobile | stick together*T-Mobile | stick together*T-Mobile | stick together*