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Nov 2013

Lu Jia, Regional Technical Services Manager

Use Case Discussions

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Throughput Calculation in Polystar’s System

Average Flow Throughput: Avg Throughput per Application Flow

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Average Network Throughput : intended for network capacity managementrather than user experience monitoring.

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Throughput Calculation in Polystar ’s System (continued)

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Proposed Key Quality Indicators for User

Experience Management1. Accessibility – How easy it is to set up a data session

• PDP Success Rate %

• PDP Set-UP Time2. Retainability – How effective is it to maintain a connection

• Update PDP Success Rate %

3. Performance – Assessment of subscriber experience• Throughput• Latency• Retransmit Rate %

• Downlink Completion Time

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Proactive Management ofNetwork Performance

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Proactive Management – Network Performance

1. Daily Network Performance Review by Mobile Performance Team• PDP Session Performance seeing a dip with drill down by GTP Cause

indicating System Failure• First escalation to Radio and Core Performance Teams

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Drill Down

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Proactive Management – Network Performance

2. Issue escalated to Radio Network Performance Team• Further analysis by Cell to assess location of impact

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Proactive Management – Network Performance

3. Issue escalated to Core Network Performance Team• Further analysis by GGSN, SGSN, RAT and APN to isolate issue

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Proactive Management – Network Performance

4. Issue forwarded to Product/Marketing Teams• Profile of handsets impacted by PDP Attempt Failures to help

marketing to be more effective in promoting the right type of phones tocustomers

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Proactive Management – Network Performance

5. Issue forwarded to Operation/Complaint Resolution Teams• Detailed analysis of individual records

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Proactive Management ofVIP/Subscriber Experience

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Low Throughput Management – Subscriber

Monitoring1. Drill down by Cells for Low Throughput Investigations

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Drill Down toCell DetailedTransactions

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Further Analysis on the low throughput on the worst

performing cells1. To see the radio capacity condition of the worst performing cells

(due to congestion, no coverage etc.)

2. Drill down by Handset Models to see any performance lagger.3. Any specific subscribers dragged down the overall performance

significantly. (Drilled down using EA)4.

Any specific content host servers (IPs) have performance issuesimpacting the over network performance

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Proactive Management – Subscriber Monitoring

2. Analysis of detailed events to identify subscribers served by the cell

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• 9,095 flows outof 10,000 iscoming from0327772

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Proactive Management – Subscriber Monitoring

3. Further analysis into throughput performance of subscribers servedby the cell

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• At 2 Mbps,unlikely capacityissues for theproblem cell

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Proactive Management – Subscriber Monitoring

4. Isolating throughput analysis for the one subscriber (0327772) with9k flows out of 10K flows.

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• Throughput problemappears to beisolated to thissubscriber

• Case forwarded toCustomer Care forproactivemanagement incases of VIP Subs

Investigationinto type of

Hostsaccessed

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Proactive Management – Subscriber Monitoring

5. Further Analysis into Type of Hosts being accessed

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Q&A

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