3rd International ICST Conference on Performance Evaluation Methodologies and Tools

Research Article

Stochastic population games with individual independent states and coupled constraints

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  • @INPROCEEDINGS{10.4108/ICST.VALUETOOLS2008.4359,
        author={Hamidou Tembine and Eitan  Altman and Rachid  ElAzouzi and Yezekael Hayel Hayel},
        title={Stochastic population games with individual independent states and coupled constraints},
        proceedings={3rd International ICST Conference on Performance Evaluation Methodologies and Tools},
        publisher={ICST},
        proceedings_a={VALUETOOLS},
        year={2010},
        month={5},
        keywords={Population games Markov decision process power control access control.},
        doi={10.4108/ICST.VALUETOOLS2008.4359}
    }
    
  • Hamidou Tembine
    Eitan Altman
    Rachid ElAzouzi
    Yezekael Hayel Hayel
    Year: 2010
    Stochastic population games with individual independent states and coupled constraints
    VALUETOOLS
    ICST
    DOI: 10.4108/ICST.VALUETOOLS2008.4359
Hamidou Tembine1, Eitan Altman2, Rachid ElAzouzi1, Yezekael Hayel Hayel1
  • 1: University of Avignon, 339, chemin des Meinajaries, Agroparc BP 1228, F-84911 AVIGNON Cedex
  • 2: INRIA, MAESTRO Group, 2004 Route des Lucioles, F-06902,Sophia-Antipolis, Cedex

Abstract

This paper studies non-cooperative population games with several individual states and independent Markov process. Each member of each class of the population has (i) its own state (ii) its actions in each state, (iii) an instantaneous reward which depends on its state and the population's profile, (iv) a time-average (coupled) constraints. We apply this model to battery-dependent power control in wireless networks with several types of renewable energies. We show that the game has an equilibrium in stationary strategies under ergodic assumptions and we present a class of evolutionary game dynamics which converge to stationary equilibria.