1st International Conference on Game Theory for Networks

Research Article

A power allocation strategy using Game Theory in Cognitive Radio networks

  • @INPROCEEDINGS{10.1109/GAMENETS.2009.5137392,
        author={Enrico Del Re and Gherardo Gorni and Luca  Ronga and Rosalba Suffritti},
        title={A power allocation strategy using Game Theory in Cognitive Radio networks},
        proceedings={1st International Conference on Game Theory for Networks},
        publisher={IEEE},
        proceedings_a={GAMENETS},
        year={2009},
        month={6},
        keywords={},
        doi={10.1109/GAMENETS.2009.5137392}
    }
    
  • Enrico Del Re
    Gherardo Gorni
    Luca Ronga
    Rosalba Suffritti
    Year: 2009
    A power allocation strategy using Game Theory in Cognitive Radio networks
    GAMENETS
    IEEE
    DOI: 10.1109/GAMENETS.2009.5137392
Enrico Del Re1,2,*, Gherardo Gorni1,2,*, Luca Ronga3,2,*, Rosalba Suffritti3,2,*
  • 1: Department of Electronics and Telecommunications (DET)
  • 2: University of Florence, Florence, Italy
  • 3: National Inter-University Consortium for Telecommunications (CNIT)
*Contact email: fenrico.delre@unifi.it, gherardo.gornig@unifi.it, luca.ronga@cnit.it, rosalba.suffrittig@cnit.it

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.