LTE Asia 2013 - Policy Control & Abstraction

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Utilizing policy control & abstractionPatrick NijstersHead of APJC Sales – Quantum Policy

LTE Asia - September 2013

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Mobile market situation

Revenue & profitability

Differentiation

Network capacity• Heavy users causing network congestion, impacting quality of service

for all subscribers

• Traffic and network costs increasing faster than revenue growth

• Unlimited plans lead to abuse and lower profits

• Retailing unlimited data access, limits sales growth

• Unable to monetize “over-the-top” content

• Inability to dynamically address market segmentation

• Cannot deliver differentiated Quality of Service (QoS)

• Unable to offer timely, relevant promotions

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Mobile market situation

Differentiation

• Inability to dynamically address market segmentation

• Cannot deliver differentiated Quality of Service (QoS)

• Unable to offer timely, relevant promotions

Let’s take a look at differentiation

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The differentiation challenge

Personalization

Lack of killer applications

Service velocity• Creation or modification of new services is too slow compared to

velocity of market trends

• Deploying one service doesn’t always help the second service

• Current policy control solutions tend to have limited visibility in the overall network

• There is no “silver bullet” use-case

• Market conditions vary between regions and even operators

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The differentiation challenge

Personalization

Service velocity• Creation or modification of new services is too slow compared to

velocity of market trends

• Deploying one service doesn’t always help the second service

• Current policy control solutions tend to have limited visibility in the overall network

Let’s zoom in on velocity & personalization

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A practical problem

GiL

AN

CO

NT

RO

L

SON

API-GW

CDN

FIREWALL

DPI

VIDEOOPT.

NAT

PCRF

OCS

SPR

Each interesting use-case requires touch points in

multiple network and application elements

Existing mesh connectivity between network elements and

functions not scalable

Negatively impacting service velocity, quality, cost and

scalability

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Policy control & abstraction

GiL

AN

CO

NT

RO

L

SON

API-GW

CDN

FIREWALL

DPI

VIDEO OPT.

NAT

PCRF

OCS

ANALYTICS

1. Replace mesh-points with bus architecture

2. Use modular protocol plugins and API gateway

3. Add session management

4. Add complex event processor

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Policy control & abstraction

• SimplifyReduce and centralize complexity

Ease integration of new elements and functions

• InnovateService use-cases based on mash-ups of multiple events

• Service velocityFrom coding/scripting to configuring

From months/weeks to days/hours

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Innovate : RAN congestion policy control

EPCRAN Gi-LAN / TDF

NotificationNetwork selection

Policy control Subscriber SONAnalytics

Quantum Service Bus

RAN SON Wire-line SON

Subscriber PCC AnalyticsSPR /UDR

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Innovate : RAN congestion policy control

EPCRAN Gi-LAN / TDF

NotificationNetwork selection

Policy control Subscriber SONAnalytics

Quantum Service Bus

RAN SON Wire-line SON

Subscriber PCC AnalyticsSPR /UDR

RAN SON sends congested cells to analytics engine1

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Innovate : RAN congestion policy control

EPCRAN Gi-LAN / TDF

NotificationNetwork selection

Policy control Subscriber SONAnalytics

Quantum Service Bus

RAN SON Wire-line SON

Subscriber PCC AnalyticsSPR /UDR

RAN SON sends congested cells to analytics engine1

Event processor correlates congestion, subscriber location, subscriber profile andinstantiates event triggers2

© 2013 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 12

Innovate : RAN congestion policy control

EPCRAN Gi-LAN / TDF

NotificationNetwork selection

Policy control Subscriber SONAnalytics

Quantum Service Bus

RAN SON Wire-line SON

Subscriber PCC AnalyticsSPR /UDR

RAN SON sends congested cells to analytics engine1

Event processor correlates congestion, subscriber location, subscriber profile andinstantiates event triggers2

PCRF gets notified through event congestion subscription3

© 2013 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 13

Innovate : RAN congestion policy control

EPCRAN Gi-LAN / TDF

NotificationNetwork selection

Policy control Subscriber SONAnalytics

Quantum Service Bus

RAN SON Wire-line SON

Subscriber PCC AnalyticsSPR /UDR

RAN SON sends congested cells to analytics engine1

Event processor correlates congestion, subscriber location, subscriber profile andinstantiates event triggers2

PCRF gets notified through event congestion subscription3

PCRF triggers policy rule changes to EPC and Gi-LAN/TDF4

© 2013 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 14

Innovate : RAN congestion policy control

EPCRAN Gi-LAN / TDF

NotificationNetwork selection

Policy control Subscriber SONAnalytics

Quantum Service Bus

RAN SON Wire-line SON

Subscriber PCC AnalyticsSPR /UDR

RAN SON sends congested cells to analytics engine1

Event processor correlates congestion, subscriber location, subscriber profile andinstantiates event triggers2

PCRF gets notified through event congestion subscription3

PCRF triggers policy rule changes to EPC and Gi-LAN/TDF4

ANDSF triggers congested UE’s to offload of non voice traffic to Wi-FI5

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Cisco ONE

• Dynamic network configuration

• Fewer tools and interfaces

• Shift resources from operation to service creation

• Use real-time data to improve performance and experience

• Launch services quickly

• Customize services per market segment

• Extrapolate business intelligence from network data

MONETIZE OPTIMIZE SIMPLIFY

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The closed loop that builds value

Monetize Optimize

intell

igenc

e

programm

ability

orchestration

Simplify

Thank you.