Decentralized Resource Allocation in Femtocell Networks Based on Game Theory and Markov Modeling

نویسندگان

  • S. Barbarossa
  • S. Sardellitti
  • A. Carfagna
چکیده

The potential massive deployment of femto access points requires femtocell networks to be able to self-configure, with a special attention to interference management. Within this context, game theory represents a solid tool to devise decentralized algorithms for dynamic resource allocation. In this paper, we propose alternative game-theoretic techniques that exploit the backhaul link among femto-access points to set up local coordination games which provide performance advantages with respect to purely competitive games. Our optimization techniques incorporate a Markovian model of the interference activity and propose alternative pricing mechanisms to allocate power in the joint time-frequency plane. ∗This work was funded by the European Community 7th Framework Programme Project ICT-FREEDOM, under grant nr. 248891. Part of this work will be presented at ICASSP 2011.

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تاریخ انتشار 2011