This Action proposes coordinated research in the field of cognitive radio and networks. The cognitive concept applies to coexistence between heterogeneous wireless networks, that share the electromagnetic spectrum for maximum efficiency in resource management. Several efforts are currently in place in European research centers and consortia to introduce cognitive mechanisms at different layers of the communications protocol stack. This Action goes beyond the above trend by integrating the cognitive concept across all layers of system architecture, in view of joint optimization of link adaptation based on spectrum sensing, resource allocation, and selection between multiple networks, including underlay technologies. The cross-layer approach will provide a new perspective in the design of cognitive systems, based on a global optimization process that integrates existing cognitive radio projects, thanks to the merge of a wide-range of expertise, from hardware to applications, provided by over 30 academic and industrial partners. The final result will be the definition of a European platform for cognitive radio and networks. To reach this goal, algorithms and protocols for all layers of the communications stack will be designed, and a set of standard interfaces as well as a common reference language for interaction between cognitive network nodes will be defined.
COST IC0902 - Cognitive Radio and Networking for Cooperative Coexistence of Heterogeneous Wireless Networks
- Start:
- 01 December 2009
- End:
- 31 December 2013
- Funding:
- Public
- Reach:
- International
- Status:
- Ongoing
- Area:
- Access Technologies
- Web:
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"Cognitive Radio and Networkingfor Cooperative Coexistence of Heterogeneous Wireless Networks
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Faculty of Engineering, University of Rome La Sapienza, Rome, Italy.
Publications
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M. Shaat, F. Bader, An Uplink Resource Allocation Algorithm for OFDM and FBMC Based Cognitive Radio Systems, in Proceedings of 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2010), 9-11 June 2010, Cannes (France). -
A. Galindo, L. Giupponi, Distributed Q-learning for Aggregated Interference Control in Cognitive Radio Networks, IEEE Transactions on Vehicular Technology, vol. 59 , no. 4, pp. 1823 - 1834, May 2010. -
A. Galindo, L. Giupponi, P. Blasco, M. Dohler, Learning from Experts in Cognitive Radio Networks: The Docitive Paradigm, in Proceedings of 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2010), 9-11 June 2010, Cannes (France).
Consortium
- Department of Electronic Systems, Aalborg University. AAU. Denmark
- King’s College London
- Institute of Communications Technology, Leibniz Universitat of Hannover, Germany.
- Aachen University, Germany
- L'École Supérieure d'Électricité. France
- Technical University of Dresden, Germany
- University of Bologna, Italy.
- University of Piraeus, Greece.
- University of Technology, Sydney, Australia
- European Aeronautic Defence and Space Company, Germany
- Orange Labs, Access Networks France Telecom Group
- German Aerospace Center, DLR. Germany
- Joint Research Center - European Commission
- Telefónica Investigación y Desarrollo
- Toshiba Research Europe Limited
- VTT Technical Research Centre of Finland.
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Coordinator






