Mobile World Congress 2017 – Barcelona

Network Machine Learning Session

Network Optimization 2.0

Revolutionary Network Performance Management

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Pursuing Flexible & Intelligent Methodologies for NPM

Challenges:

• Heterogeneous network environments

• New applications and Customer behaviors

• Limitations of traditional optimization methods

Trends:

• Fully exploit new technologies – sensors, big data, artificial intelligence and self-learning machines.

• Automation - Self-optimization and self-healing become main stream

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Revolutionary Network Performance Management

Value-driven Optimization

Activities

Automatic Closed Loop

Process

Customer Experience oriented Network Evaluation

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Customer Experience Oriented Evaluation

Accessibility

CDR

Handover

Redirection

CE Oriented Evaluation Model

No call drop

Fast access

No latency

Problem Cell LocalizationCoverage

Interference

PCI

Configure

Others

RCA

Intelligent Problem Localization Algorithm

Evaluate network quality from customer perspective

Intelligent correlative analysis for automatic problem localization

Big Data Platform

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Value-driven Optimization Activities

Network Quality

Network Value

High

Med.

Low

Value-driven Optimization Medium

Low

Non

High

Optimization Areas

Aggregation Algorithm

UserGranularity Grid(100m x100m)

Area

MR/CDT

Priority Matrix

High

Med.

Low

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Automatic Closed Loop Optimization

Automatic

Root Cause

LocalizationDrill-down analysis of

poor quality area

Accessibility

CDR

Handover

Redirection

Coverage

Interference

PCI

Configure

Others

Impact EvaluationRoot Cause Analysis

Problem Cell Location

Automatic

Resolution

Verification

• Optimization WO creation• Optimization suggestions• Resolution verification• WO/ TT closure

Automatic..

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RoNPM Virtual Drive Tests

DT/CQT

Traditional DT

Drawbacks:

•Only simulation of experience

•Limited by time, distance, weather…

•High cost but low efficiency

MR/CDT

MR/CDT

AGPS

MR/CDT

Future-Oriented Virtual DT

• MR/CDT data collect to evaluate coverage and reproduce user events

• AGPS data to improve position accuracy to 20 meters

• Big data technology, fingerprint and fitting algorithms

• Evaluate performance anytime

• >90% matching compared with DT result

• Drastically Reduce DT cost

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Sichuan Telecom Case Study

More Flexible

More Intelligent

More Efficient

First Call Resolution

Rate Improved to 90%

Optimization Efficiency Improved 8 Times

Problem Average Resolution Time

48Hr

6Hr

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VDT for Highway in Sichuan Telecom

DT Cost Saving

1.2 M$/YearDT Cost Saving

Automatic Coverage Evaluation

Analysis for Poor Quality Areas on Highway

Drill-down Analysis for Problem Cell Localization

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Agile Optimization in Sichuan Telecom

City 1 City N

Analysis

Ops. Dept

Opti.

Analysis

Opti.

City 1 City N

Ops. Dept

Opti.

Analysis

Opti.

• Flat organization improve strategy execution

• Top – down communication.

• Optimized use of expert resources

• Proactive performance management. -40% on Optimization Resources

Benefits

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Tomorrow Never Waits

Easy Speed Value

… to Evaluate

… to Optimize

… to Maintain

Agile Operation

Fast Response

Less Intervention

Users

Services

Areas

Zero Touch Evolution With RoNPM