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
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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
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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
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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
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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
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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