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.

A MAC level strategy for dynamic resource allocation in Cognitive Radio tactical networks / Pucci, Renato; Ronga, Luca Simone; Del Re, Enrico. - STAMPA. - (2015), pp. 1658-1662. (Intervento presentato al convegno IEEE International Conference on Communication Workshop, ICCW 2015 tenutosi a gbr nel 2015) [10.1109/ICCW.2015.7247418].

A MAC level strategy for dynamic resource allocation in Cognitive Radio tactical networks

PUCCI, RENATO;RONGA, LUCA SIMONE;DEL RE, ENRICO
2015

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.
2015
2015 IEEE International Conference on Communication Workshop, ICCW 2015
IEEE International Conference on Communication Workshop, ICCW 2015
gbr
2015
Pucci, Renato; Ronga, Luca Simone; Del Re, Enrico
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1039493
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