• DocumentCode
    2317058
  • Title

    Stochastic games with one step delay sharing information pattern with application to power control

  • Author

    Altman, Eitan ; Kamble, Vijay ; Silva, Alonso

  • Author_Institution
    INRIA, Sophia Antipolis, France
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    124
  • Lastpage
    129
  • Abstract
    Non-cooperative game theory has gained much interest as a paradigm for decentralized control in communication networks. It allows to get rid of the need for a centralized controller. Decentralizing the decision making may result in situations where agents (decision makers) do not have the same view of the network: the information available to agents vary from one agent to another. The global view of the network state cannot be available to an agent as fast as the information on its local state. Incorporating into the decentralized control paradigm this information asymmetry renders it applicable to a much wider class of situations. In this paper we model the above information asymmetry using the one-step delay sharing information pattern from team theory and generalize it to the context of non-cooperative games. We study its properties and apply it to distributed power control problem.
  • Keywords
    decentralised control; decision making; power control; stochastic games; telecommunication control; centralized controller; communication networks; decentralized control; decision making; distributed power control; information asymmetry; non-cooperative game theory; one step delay sharing information pattern; stochastic games; Centralized control; Communication networks; Communication system control; Context modeling; Decision making; Delay; Distributed control; Game theory; Power control; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Game Theory for Networks, 2009. GameNets '09. International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-4176-1
  • Electronic_ISBN
    978-1-4244-4177-8
  • Type

    conf

  • DOI
    10.1109/GAMENETS.2009.5137393
  • Filename
    5137393