Presentation short 2012
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The document outlines a project called CROWD which aimed to address challenges from increasing wireless network density and optimize connectivity, capacity, and energy usage. The project's objectives were to achieve density-proportional capacity and traffic-proportional energy consumption of up to 70% reduction, while maintaining high quality of experience for mobile users. It involved enhancing wireless mechanisms, dynamic radio and backhaul configuration, and connectivity management across multiple partners over 30 months with a budget of 4.46 million Euros. The results included new connectivity management solutions, energy efficient algorithms, enhanced MAC layer functions, and a testbed for validation.
Presentation short 2012
- 1. Connectivity management for eneRgy Optimised Wireless Dense networks
- 2. Outline Facts Motivation Main objectives and measures of success Implementation Main contributions of partners Concrete project results 2
- 3. 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 3
- 4. 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 4
- 5. 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 5
- 6. 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 6
- 7. WPs: Structure WP6–ProjectManagement T6.1ProjectManagement WP1 – Architecture T1.1 Architecture T1.2 Economical Analysis T1.3 Dissemination and Standardisation WP2 – Enhanced Wireless Mechanisms T2.1 Coordinated technologies enhancements T2.2 Distributed technologies enhancements T2.3 Opportunistic cooperation of coordinated and distributed technologies WP3 – Dynamic radio and backhaul configuration T3.1 Topology discovery and monitoring T3.2 Global control for dynamic mechanisms T3.3 Case studies of different configuration algorithms T3.4 Dynamic backhaul reconfiguration WP4 – Connectivity Management T4.1 Access selection T4.2 Enhanced traffic management in dense wireless networks T4.3 Session continuity and distributed anchoring WP5–Integrationanddemonstration T5.1Integrationandtest-bedsetup T5.2Experimentalevaluation T5.3Demonstration 7
- 8. WPs: Scope and time scale Timescale Short Medium Long Data flow Control & configuration Enhanced Wireless Mechanisms (WP2) Mobility Mechanisms (WP4) GlobalOptimisation(WP3) Control interface 8
- 9. 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 10
- 10. Concrete project results 1. 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.11