DocumentCode :
2115500
Title :
A MAC level strategy for dynamic resource allocation in Cognitive Radio tactical networks
Author :
Pucci, Renato ; Ronga, Luca Simone ; Del Re, Enrico
Author_Institution :
CNIT - Florence Research Unit, Italy
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
1658
Lastpage :
1662
Abstract :
The ability to continuously self-adapt to the variations of the radio environment will be an interesting issue for future tactical radio networks. Cognitive Radio (CR) is the main enabling paradigm allowing the self-adaptation process in military communications minimizing the human intervention in the network management operations. In this paper we provide a MAC-level solution based on a game theoretic framework that covers these open issues. Thinking to the CR devices in the network as players of the same game, the resource allocation problem can be formulated as a S-Modular Game, since it provides a set of helpful tools aimed at defining multi-objective distributed algorithms in the radio-communications context. On the base of the proposed solution, CR devices are able to hierarchically self-configure the network and share the radio resources in a fair and energy-efficient way. Simulation results presented in this paper has been obtained within the CORASMA project and they show the good performance of the proposed solution for cognitive radio tactical networks.
Keywords :
Cognitive radio; Conferences; Games; Interference; Resource management; Satellite broadcasting; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Workshop (ICCW), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICCW.2015.7247418
Filename :
7247418
Link To Document :
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