Presentation short 2012

Connectivity management for eneRgy Optimised Wireless Dense networks

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Outline Facts Motivation Main objectives and measures of success Implementation Main contributions of partners Concrete project results

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Facts Title: Connectivity management for enerRgy

Optimised Wireless Dense networks (CROWD) Call identifier: FP7-ICT-2011-8 Grant number: 318115 Start: 1/1/13 End: 30/6/15 (duration 30 months) Total cost: 4,460 k€ Total funding: 2,978 k€ Total effort: 443 PM

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Motivation Number of wireless users increasing rapidly

Load doubles every year Current demand is barely supported by existing

infrastructure The solution necessarily entails the deployment of

more points of access Higher density of points of access Different wireless technologies (heterogeneous deployment)

Current available solutions to handle density are not sufficient Most existing solutions take local PHY restricted view Higher layer mechanisms are required for optimal operation

Wireless dense networking can potentially lead to wireless chaos and huge energy waste

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Motivation To avoid the implosion of wireless capacity due to increased

density we need: New mechanisms for wireless devices coordination and cooperation Higher layer algorithms to control and configure network behavior

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Main objectives Density-proportional capacity

Throughput scales (almost) linearly with cell density Traffic-proportional energy consumption

Power consumption reduced by up to ~70% Mobile user’s QoE

Significantly lower handover blocking probability and end-to-end delay variation experienced by mobile users (compared to a scenario without inter-cell and inter-technology mechanisms)

Significant reduction of the backhaul load (compared to a scenario with static backhaul configuration)

Validation and demonstration Deployment and successful operation of a test-bed composed of

several LTE and WLAN stations together within a dense deployment of base stations and access points

Dissemination and exploitation High-quality publications in peer-reviewed journal and conferences Contribution to standardisation

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WPs: StructureW

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WP1 – ArchitectureT1.1 Architecture

T1.2 Economical AnalysisT1.3 Dissemination and Standardisation

WP2 – Enhanced Wireless MechanismsT2.1 Coordinated technologies enhancementsT2.2 Distributed technologies enhancements

T2.3 Opportunistic cooperation of coordinated and distributed technologies

WP3 – Dynamic radio and backhaul configurationT3.1 Topology discovery and monitoring

T3.2 Global control for dynamic mechanismsT3.3 Case studies of different configuration algorithms

T3.4 Dynamic backhaul reconfiguration

WP4 – Connectivity ManagementT4.1 Access selection

T4.2 Enhanced traffic management in dense wireless networksT4.3 Session continuity and distributed anchoring

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WPs: Scope and time scale

TimescaleShort Medium Long

Data flow

Control & configuration

EnhancedWireless

Mechanisms (WP2)

MobilityMechanisms

(WP4)

Global Optimisation(WP3)

Control interface

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Partner roles

Type Partner Main contribution

IND

Intecs (it) - Coordinator MAC layer improvement LTE

Alcatel-Lucent (fr) System analysis and architecture

Orange (fr) Connectivity management (heterogeneous access selection)

SME Signalion (de) Test bed setup, and operation

RES

Institute IMDEA Networks (es)

MAC layer improvement IEEE 802.11

UC3M (es) Connectivity management (session continuity)

University of Paderborn (de)

Dynamic backhaul configuration mechanisms

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Concrete project results1. New solutions for connectivity management

benefiting (rather than suffering) high density in deployments.

2. Novel heuristic approximation algorithms exploiting regional-level information for energy efficient operation.

3. Enhancements at MAC layer for IEEE 802.11 and LTE that use density “as a resource” and exploit it through intra- and inter-technology coordination.

4. Dynamic backhaul reconfiguration strategies that achieve such a consumption that is near proportional to traffic demands.

5. An integrated testbed suitable to validate all the other project results under realistic conditions.

End of Presentation

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