HSPA Optimization Process With Nokia Final

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HSPA+ Optimization Process

Transcript of HSPA Optimization Process With Nokia Final

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HSPA+ Optimization Process

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Pre-opt start list• RET report

• Feeder Loss values audit

• Commissioning/SCF/FTM config audits

• BFD/AAV audit

• Capacity 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 analysis

• New actix process

• Using actix for KPI and drivetest analysis

• OPTpcs

Change requests1. Process for identifying and approving the requests needs to be worked out between the local

market engineers and HSPA+ assigned resources1. To be approved by t-mobile employee

Result verification against the reported CQI1. Exit criteria

Summary

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Flow of Optimization work

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Flow of Optimization work – contd.

•Region•Market•Market to submit & Region to validate/approve

Responsibilities

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Detailed Optimization flow

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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 Audit

– RNC/OSS SME

Verification of all HSPA+ and HSUPA features– To make sure if all the required features in all sites and RNCs

implemented as planned.

List out the Parameter and Feature inconsistencies and correct them

– This step is required first before proceeding with any Optimization activities.

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Basic Capacity Check

Address the following baseband requirement based on the national capacity guidelines

– FSMx

– Additional T1 or AAV

– HS scheduler

RET Verification

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

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Feeder Loss

Feeder Loss is an important design aspect – maintain coverage, capacity & performance Large 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 below

– On 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 below

– Feeder modification

– RRU implementationNote: These long term solutions will not be implemented during this period of optimization.

– Feeder Loss Dashboard

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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 it’s full potential

Exceptions

- Bad CQI Sites at coverage edges

For Regions Only

2nd Priority 1st Priority

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Define Problem Areas

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Problem Area – Major KPI – CQI

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EXIT Criteria – To meet – Baseline KPI Sl. No. KPIs Exit Threshold (Market wise)

1 CQI Number of Cells with >5% in CQI 0 to 10, to reduce by 80% AND Market wise CQI above 10 > 98%

TPIM KPIs1 Voice Access Failure rate (%) <= previous round value2 PS Access Failure rate (%) <= previous round value3 Voice Drop Rate (%) <= previous round value4 PS Drop Rate (%) <= previous round value5 Actual MAC-HS Cell Thpt (Mbps) >= previous round value6 Voice Traffic in Erlangs >= previous round value7 HSDPA Pay Load-RLC layer (MB) >= previous round value8 3G Leakage (% of 3G calls ending on 2G) <= previous round value9 % of 3G initiating calls on 2G (CDR Based) <= previous round value

•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 improved•Justification 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.aspx

under National Performance Reports E2E 3G Leakage Reports

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Optimization KPI – Reporting Only

Sl. No. KPIs

1 Boomer Index - 3G coverage vs Co-loc 2G Coverage =>1.5

2 DL Capacity Index - Power per User, SHO Overhead , 500mwatts

3 UL Capacity Index – RTWP, =>3dB @ busy hour

Boomer 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 it’s neighbors. Any instance where the 3G cell’s radius exceeds the 2G cell’s 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

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Cluster/problem area Drive KPIs – Reporting Only

1 HSDPA Application Throughput2 HSUPA Application Throughput3 HSDPA Access Failure Rate4 HSDPA Drop Rate5 HSUPA Access Failure Rate6 HSUPA Drop Rate7 % of time HS UE was served on R99 data (DCH)8 64 QAM Modulation Rate9 UE Reported CQI

10 No. of HS Cell Changes11 HS-PDSCH Code Usage12 Scanner Based - Too Many Servers

All KPIs below are only for Optimization purposes

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Data / KPI Collection

TPIM Report / KPI Collection– ‘Propagation Delay’ reports (from Liberty Server or TPIM

content browser) can be used to identify the proximity of mobiles and cell

– Utilize liberty report for optimization and analysis

– SHO

– PRACH

– Power/user

– Boomer Index

– RTWP

– All 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”

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Detailed Drive – In Problem Areas

Detailed Street level Drive Test is for the optimization purpose in the Problem Areas

Following is the drive test setup for the Problem Area – Detailed Drive

Scanner Analysis is mandatory

HSPA+ Problem Area

Drive S14

Device Mode Priority Configuration Details FunctionScanner (MS1) Dual Mandatory Dual-mode scanner Dual-mode scanner

Voice Long (MS2) UMTS Additional 1800 sec duration & 10 sec gap

DCR, Quality

HSPA (Rocket)(MS3)

UMTS Additional HSDPA FTP DL - 30MB & HSUPA UL - 3MB

AFR, DCR, Throughput, CST

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ACTIX ONE/OptPCS Analysis

Using the drive data from the detailed drive in problem areas, following analysis can be done.

– DL and UL Coverage Analysis – using Scanner’s RSCP, Ec/Io and UE’s TX Power and BLER. – Identify weaker coverage areas and provide solutions to improve

– Pilot Pollution Analysis – using Scanner data – Identify areas of where there is no single dominant pilot. Improve the server’s coverage and reduce the interferer’s. Identify the boomer cells and control them. Identify areas with high SHO overhead and provide solutions to reduce it

– Pilot 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.

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Actix One Analysis Flow

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OptPCS Analysis Flow

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Drive Test naming convention

Sample: For Dallas= SODA_C01a_S14_K01_D01_05252010_001.log

S14 – mobility name

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Sample Process & Asset Set-up

Asset set-up & procedue

Asset Set-up & procedure

Sample Proble area procedure

Sample problem area procedure

HSPA+ Tracker

Problem area log tracker

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Performance Improvements via Capacity Enhancements

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

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Progress Reporting

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Confidential and Proprietary Information of T-Mobile USA 24

CQI Optimization Progress TrackingHSPA+ Project Progress

Week Ending July 1st 2010

Exception Cells (Approved by Market)

Optimized Cells Problematic Cells

Central 0 13854 2173Northeast 0 17369 3948South 0 14846 3839West 0 11636 4662National 0 57705 14622

0.00%

86.44%

13.56%

Central CQI Optimization Status

0.00%

79.45%

20.55%

South CQI Optimization Status

0.00%

81.48%

18.52%

Northeast CQI Optimization Status

0.00%

71.40%

28.60%

West Optimization Status

0.00%

79.78%

20.22%

National CQI Optimization Status

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Cells Where CQI samples (Range 0-10) Total More Than 5% Of All SamplesHSPA+ Project Progress

Week Ending July 1st 2010

Data Source: CQI Dashboard from Liberty Report

Center

Chicago Cincinnati Cleveland Columbus Denver Detroit Indianapolis Kansas City Milwaukee Minneapolis NashvilleOklahoma

City Pittsburgh St. Louis

BAD SECTOR 890 43 10 24 418 115 64 66 90 222 25 103 38 65

PERCENTAGE 40.96% 1.98% 0.46% 1.10% 19.24% 5.29% 2.95% 3.04% 4.14% 10.22% 1.15% 4.74% 1.75% 2.99%

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BAD SECTOR PERCENTAGE

Atlanta Austin Birmingham Carolina Dallas Houston Jacksonville Memphis Miami Mobile Orlando Tampa

BAD SECTOR 534 602 49 332 944 472 29 80 478 15 171 133

PERCENTAGE 13.71% 15.46% 1.26% 8.53% 24.24% 12.12% 0.74% 2.05% 12.28% 0.39% 4.39% 3.42%

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National CQI Trending – Cells Where CQI (Range Of 0-10) Total >5% Of SamplesHSPA+ Project Progress

Week Ending July 1st 2010

Data Source: CQI Dashboard from Liberty Report

Center

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T-PIM KPI Reporting

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

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CQI distribution reporting per cluster

Cluster DA00

Cluster <empty>

CQI distribution reporting based upon Asset clusterdefinition.

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

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Modulation Distribution

Similar reporting based upon the used modulation technique in the cluster.

FSC reported WoW report for CQI

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Program Tracker

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Regional Level

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Market Level

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Activities List

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Preliminary Justification Package

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HSPA+ High Cost Site Mod Package

Carolina8CO0517CCluster: CR_01

RSCP >= -92dBm RSCP >= -97dBmRSCP >= -104dBmTraffic Loading at: 50 %

Solution TypeFiber on Tower ConversionAntenna RelocationAntenna ChangeAntenna Height Change3G Macro Site Addition3G Micro/Pico Site Addition

PriorityCriticalCriticalImportantImportantNeededNeeded

Other Expected Cost$

BeforeBefore

AfterAfter Antenna TiltsOptimization Efforts Completed to Date

Parameters Neighbors Other

POPS:

R99 Traffic:

HS Traffic:

Before Stats

CQI AVG:Ec/Io AVG:RSCP AVG:

POPS:

R99 Traffic:

HS Traffic:

After Stats

CQI AVG:Ec/Io AVG:RSCP AVG:

Drive TestDrive Test

< 30 DaysImplementation Time

30-60 Days60 – 90 Days 6-12 months90 – 180 Days 12-24 months

Other notes of interest: ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Other notes of interest: ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

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• Other information on Map• Store Locations• BANS• POPS

HSPA+ High Cost Site Mod Package

Carolina8CO0517CCluster: 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 Sites

•Planned or Proposed Sites or sector

•GSM 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” category

PriorityPriority is based on customer impact against other sites that need modifications.

Expected CostInclude all costs associated with planning and implementing this solution

Optimization Efforts Completed to DateAnswers the question of what has been completed to date to improve the performance of the area in question

Before Stats After StatsLists basic KPI’s before any optimization had been performed on the area in question

Lists basic KPI’s after the low cost optimization changes had been completed.

This is NOT a prediction of performance after this package is implemented

Drive Test Maps

At 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

Cluster ID can be alternated with sub-market

Implementation TimeThe forecasted amount of time it will take to implement this solution from the date of approval