The Cognitive Radio approach can be considered as a promising and suitable solution to solve in an efficient and flexible way the increasing and continuous demand of services and radio resources. This paper investigates how the adoption of a cognitive radio strategy can help in the coexistence problem of two wireless networks operating on the same spectrum of frequencies. A DVB-SH based satellite network will be considered as primary system, while an infrastructured wireless terrestrial network will constitute the cognitive radio based secondary system. In this work it will be presented a power resource allocation technique based on Game Theory, considering mainly Potential Games. We will show the proposed approach is suitable for distributed implementation, furthermore it provides performances comparable to an heuristic allocation method representing the optimum allocation. The comparison between these two resource allocation methods will be provided as result of this work.
A power allocation strategy using Game Theory in Cognitive Radio networks / DEL RE, Enrico; Gorni, G.; Ronga, LUCA SIMONE; Suffritti, Rosalba. - STAMPA. - (2009), pp. 117-123. (Intervento presentato al convegno International Conference on Game Theory for Networks, 2009. GameNets '09. nel 13-15 May 2009) [10.1109/GAMENETS.2009.5137392].
A power allocation strategy using Game Theory in Cognitive Radio networks
DEL RE, ENRICO;RONGA, LUCA SIMONE;SUFFRITTI, ROSALBA
2009
Abstract
The Cognitive Radio approach can be considered as a promising and suitable solution to solve in an efficient and flexible way the increasing and continuous demand of services and radio resources. This paper investigates how the adoption of a cognitive radio strategy can help in the coexistence problem of two wireless networks operating on the same spectrum of frequencies. A DVB-SH based satellite network will be considered as primary system, while an infrastructured wireless terrestrial network will constitute the cognitive radio based secondary system. In this work it will be presented a power resource allocation technique based on Game Theory, considering mainly Potential Games. We will show the proposed approach is suitable for distributed implementation, furthermore it provides performances comparable to an heuristic allocation method representing the optimum allocation. The comparison between these two resource allocation methods will be provided as result of this work.File | Dimensione | Formato | |
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