management framework for cognitive networks - oulu

Management Framework for Cognitive Networks

Timo Bräysy,Marcos Katz, Matti Latva-aho and Marja Matinmikko

Research on cognitive networksg

THE current trend in wireless communications a.k.a.:• Opportunistic communications• Autonomous networking

Research topics include:Research topics include:

• Dynamic Spectrum Management and Sharing• Coexistence of primary and secondary users• Multichannel MAC layer issues

• (Cooperative) Spectrum Sensing methods• Resource awareness methods in general

• Adaptive Cooperation Algorithms• e.g. with game theoretic approaches

• Dynamic Topology ManagementDynamic Topology Management• Mesh structures, hierarchies, routing issues

• Autonomous network optimization methods with constraints from constraints from • topology, power efficiency, routing, cost, frequency usage,…

4 Dec 2008 CWC | Centre For Wireless Communications 2

Cognition cycleg y

Processes for:ll ti h icollecting, sharing

and storing of information about the operation environmentManaging external Managing external constraintsdecision making and learningand learningprocessesAdaptationmechanisms

3.12.2008 CWC | Centre For Wireless Communications 3

”Situation management” frameworkgG. Jacobson, Altusys Corp., 2008


Cognitive Resource Manager Mähönen et al 2006g g Mähönen et al., 2006

Cross layer optimization of heterogeneous


radios and networks

NEDAT Kant et al., 2008

NetworkEngineeringDesignAnalyticAnalyticToolset

Currentlyincludes: topology topology, routing/QoS and MAC d t ti adaptation

algorithm toolsApplication/extension to cognitive NCW networks!pp / g


Cognitive Toolbox Modelg

We propose a toolbox model as a conceptual architecture for cognitive wireless networks.

In our proposal the general decision making entity is termed cognitive manager while the entity is termed cognitive manager while the algorithmic implementations of detailed system optimizing tools are cognitive engines.


Control architecture framework


Sample case 1: Flexible Spectrum Usep pAutonomous Multioperator

spectrum management


Sample case 2: LTE A topology managementLTE-A topology management

IP/Ethernet IP/Ethernet Aggregation andAggregation and

TransportTransport

To Core network

eNBDedicated backhaul

Out-of-band relayC A N O P Y

C A N O P Y

TransportTransport

L

eNBeNBeNB

C A N O P Y

In-band relay

eNB

L

eNBL

eNBeNB

C A N O P Y

C A N O P Y

In-band relay

eNB

eNB

femto e-NB

In band relay


Figure from ”LTE-A technical proposals” by Motorola, April 2008

Sample case 3: SON in LTE-Ap

List of requirements for LTE-A SONSelf deploymentSelf-deployment

Autonomic HW/SW installationAutonomic parameter configurationR l d t l ti i tiRelays and topology optimization

Self-optimization (in operation)Optimization with adaptive AMC, PC, HARQJoint allocation of resources (space/time/freq./code/power)Cooperative eNBs

Self-maintenanceSelf-healing


Summary...y

We have presented a hierarchical toolbox model as a management toolbox model as a management framework for cognitive wireless networks.networks.

The framework is needed as a starting The framework is needed as a starting point in designing and developing realistic and implementable algorithms realistic and implementable algorithms for future cognitive networks.


...but where are the blocks...

Centralized Centralized •E.g. CM and CE are operating in central

titentity.Wireless link


...or perhapsp p

Fully distributedFully distributed• All building blocks of the cognitive All building blocks of the cognitive

management (sensors, CM, CE) are implemented locally (in each UE)implemented locally (in each UE)

• Conflicts of interests between ”players” arise!players arise!

• Cooperative algorithms are neededTh ff t f lfi h lt i ti • The effects of selfish or altruistic nodes must be addressed!


Questions?Questions?

Thank You!

management framework for cognitive networks - oulu

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