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Copyright Comarch 2011 How to improve customer experience with a self-organizing network Lukasz Mendyk OSS Product Manager, Comarch

How to improve customer experience with a self organizing network

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Page 1: How to improve customer experience with a self organizing network

Copyright Comarch 2011

How to improve customer experience with a self-organizing network

Lukasz Mendyk

OSS Product Manager, Comarch

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Agenda

• Introduction

• Self-Organizing Network and Customer Experience

• What are the challenges?

• Cell Outage Compensation example

• Architecture

• How to employ „Plug & Play” for improving CE

• Leveraging „Self-Optimizing” SON function

• How to employ self-healing

• How to gain trust in automation

• Conclusions

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Customer Experience

• According to Yankee Group’s report „Delivering a World-Class Customer Experience” there are 4 dimensions of customer experience:

– Company and brand

– Products and services

– Channel

– Delivery and operations• Does the product work anywhere, anytime?

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Customer Experience - Self-Organizing Network

• A congested network leads to poor customer experience

• LTE is a „better network” - an anticipated remedy in mobile networks

• LTE – huge investments – a need to „kill two birds with one stone” – OPEX reduction

• OPEX reduction by shifting from network management towards a Self-Organizing Network– Automation is key

• Self-Organizing Network goals:– A direct goal – cost reduction by leveraging automation, reducing

costs related to human work– Customer Experience – can this be the ultimate goal?

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What are the challenges?

• Translating „better network” to „better customer experience”

• Self-Organizing Network needs a „good driver” – proper metrics– Improving technical parameters IS NOT a goal in itself– Improving Customer Experience IS

• SON – means „autonomy for network management”

• How to control SON so that it is in line with the business goal?

• Gaining trust in automation, tuning ability

• Step-by step implementation

• Multi-vendor, multi-domain support

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Using the right criteria - example

• „Better network” vs. „better customer experience”

• Technical parameter optimization may not be the right criterion

• The right approach is optimization based on the final goal (not intermediary ones) Let’s see the obtained results based on different criteria– Cell Outage Compensation – SON function – an example

scenario

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Cell Outage Compensation - example

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Cell Outage Compensation - example

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Cell Outage Compensation - example

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Cell Outage Compensation - example

• Compensation is based on the „borrowing resources” effect

• Network-centric implementation may cause the high priority cell (airport cell) service level to be degraded by the compensation mechanism

• A need for business goal control

• What is the true goal of Cell Outage Compensation:– NO – bringing the coverage back– YES – a maximum service level which can be provided using

limited resources

• Criteria: summary service level after compensation must be „>” than the one just after an outage

• If not – the compensation scenario should be discarded

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Lessons learned

• SON must be driven by customer service criteria and metrics

• Technical parameter optimization itself can’t be a SON goal

• A holistic view of the network is needed to avoid a „local optimization” problem

• A holistic view means– both service and network (resource) view of the network

• To translate service criteria onto network requirements

• To calculate the impact of network optimization on services

– horizontally the end-to-end view means a multi-domain, multi-vendor view of the network

• To have a summary effect of network reconfiguration

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Self-Organizing Network – the architecture

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Plug & Play and Customer Experience

• Plug & Play – direct goals:– new NEs should self-configure and self-optimize and be

operational directly after being „plugged-in”– cost reduction– speeding up the process of network extension

• Plug & Play – Customer Experience– improving network support for customer services– quicker network extension – faster reaction to changing customer

demands

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Plug & Play and Customer Experience

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Plug & Play and Customer Experience

1) Define service criteria (a rock concert)

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Plug & Play and Customer Experience

2) Initial network planning

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Plug & Play and Customer Experience

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Plug & Play and Customer Experience

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Plug & Play and Customer Experience

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Plug & Play and Customer Experience

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Self-Optimizing and Customer Experience

• Self-Optimizing – direct goals:– automating network configuration tuning process– no need for manual changes of technical parameters– cost reduction

• Self-Optimizing– Customer Experience– optimizing network support for customer services– automated network adjustments, according to changing customer

service requirements

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Self-Optimizing and Customer Experience

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Self-Optimizing and Customer Experience1) Collect network

KPIs

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Self-Optimizing and Customer Experience

2) Calculate impact on the customer - KQIs

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Self-Optimizing and Customer Experience

3) Identify bottlenecks

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Self-Optimizing and Customer Experience

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Self-Optimizing and Customer Experience

4) Verify optimization

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Self-healing and Customer Experience

• Self-healing – direct goals:– automating outage detection and problem resolution– no need for human intervention– cost reduction

• Self-healing– Customer Experience– Minimizing impact on customer services

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Self-healing and Customer Experience

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Self-healing and Customer Experience

1) Collecting alarms

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Self-healing and Customer Experience

2) Calculating impact on customer services

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Self-healing and Customer Experience

3) Root cause analyses and prioritization

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Self-healing and Customer Experience

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How to gain trust in automation

• Step-by-step implementation

- using the existing OSS systems in a novel way

• Gaining trust

- manual, semi-automated, automated processes

- measuring the effectiveness of automation routines

- controlling automation via defined KPIs

- tuning capabilities

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How to gain trust in automation

• A simple example for self-healing (self-diagnosing):

- root cause analysis (FM) at the beginning – just a hint for an operator to make a final decision

- based on KPIs, if „hints” are always correct for the defined circumstances – an automated rule can trigger a defined correction action

- using KPIs for verification if automated routines need manual corrections -> rule tuning

- step-by-step replacement of manual processing of tasks with automated routines

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Conclusions

• Self-Organizing Network - an automation which can help improve customer experience

• Appropriate metrics and goals for automated routines are essential

• Technical parameters vs. customer experience driven metrics

• Comprehensive view of the network comprising both resources and services is crucial

• Leveraging the existing OSS ecosystem guarantees step by step implementation and gaining trust in automation

• Controlling and tuning automation via KPIs is a necessity

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Copyright Comarch 2011

Thank [email protected]