The document discusses the need for mobile network operators to utilize policy control and abstraction to address issues like heavy users causing network congestion, unlimited data plans leading to lower profits, and the inability to offer personalized services and promotions. It proposes a new architecture called Quantum Policy that uses a service bus, modular plugins, and analytics to simplify integration, improve service velocity, and allow dynamic network configuration based on real-time events like congestion alerts. This would help operators monetize services, optimize network performance, and simplify operations.

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Utilizing policy control &
abstraction
Patrick Nijsters
Head of APJC Sales – Quantum Policy
LTE Asia - September 2013

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• 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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• 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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• 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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• 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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GiLANCONTROL
SON
API-GW
CDN
FIRE
WALL
DPI
VIDEO
OPT.
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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GiLANCONTROL
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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• Simplify
Reduce and centralize complexity
Ease integration of new elements and functions
• Innovate
Service use-cases based on mash-ups of multiple events
• Service velocity
From coding/scripting to configuring
From months/weeks to days/hours

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EPCRAN Gi-LAN / TDF
Notification
Network
selection
Policy control Subscriber SONAnalytics
Quantum Service Bus
RAN SON Wire-line SON
Subscriber PCC Analytics
SPR
/UDR

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EPCRAN Gi-LAN / TDF
Notification
Network
selection
Policy control Subscriber SONAnalytics
Quantum Service Bus
RAN SON Wire-line SON
Subscriber PCC Analytics
SPR
/UDR
RAN SON sends congested cells to analytics engine1

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EPCRAN Gi-LAN / TDF
Notification
Network
selection
Policy control Subscriber SONAnalytics
Quantum Service Bus
RAN SON Wire-line SON
Subscriber PCC Analytics
SPR
/UDR
RAN SON sends congested cells to analytics engine1
Event processor correlates congestion, subscriber location, subscriber profile and
instantiates event triggers2

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EPCRAN Gi-LAN / TDF
Notification
Network
selection
Policy control Subscriber SONAnalytics
Quantum Service Bus
RAN SON Wire-line SON
Subscriber PCC Analytics
SPR
/UDR
RAN SON sends congested cells to analytics engine1
Event processor correlates congestion, subscriber location, subscriber profile and
instantiates event triggers2
PCRF gets notified through event congestion subscription3

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EPCRAN Gi-LAN / TDF
Notification
Network
selection
Policy control Subscriber SONAnalytics
Quantum Service Bus
RAN SON Wire-line SON
Subscriber PCC Analytics
SPR
/UDR
RAN SON sends congested cells to analytics engine1
Event processor correlates congestion, subscriber location, subscriber profile and
instantiates event triggers2
PCRF gets notified through event congestion subscription3
PCRF triggers policy rule changes to EPC and Gi-LAN/TDF4

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EPCRAN Gi-LAN / TDF
Notification
Network
selection
Policy control Subscriber SONAnalytics
Quantum Service Bus
RAN SON Wire-line SON
Subscriber PCC Analytics
SPR
/UDR
RAN SON sends congested cells to analytics engine1
Event processor correlates congestion, subscriber location, subscriber profile and
instantiates 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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• 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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Monetize Optimize
orchestration
Simplify

17. Thank you.