• DocumentCode
    842222
  • Title

    Cooperative Game Theory and the Gaussian Interference Channel

  • Author

    Leshem, Amir ; Zehavi, Ephraim

  • Author_Institution
    Sch. of Eng., Bar-Ilan Univ., Ramat-Gan
  • Volume
    26
  • Issue
    7
  • fYear
    2008
  • fDate
    9/1/2008 12:00:00 AM
  • Firstpage
    1078
  • Lastpage
    1088
  • Abstract
    In this paper we discuss the use of cooperative game theory for analyzing interference channels. We extend our previous work, to games with N players as well as frequency selective channels and joint TDM/FDM strategies. We show that the Nash bargaining solution can be computed using convex optimization techniques. We also show that the same results are applicable to interference channels where only statistical knowledge of the channel is available. Moreover, for the special case of two player 2 times K frequency selective channel (with K frequency bins) we provide an O(K log2 K) complexity algorithm for computing the Nash bargaining solution under mask constraint and using joint FDM/TDM strategies. Simulation results are also provided.
  • Keywords
    Gaussian channels; frequency division multiplexing; game theory; interference (signal); optimisation; time division multiplexing; FDM strategies; Gaussian interference channel; Nash bargaining solution; TDM strategies; convex optimization techniques; cooperative game theory; Additive noise; Computational modeling; Frequency division multiplexing; Game theory; Gaussian noise; Information theory; Interference channels; Interference constraints; Time division multiplexing; Transmitters; Nash bargaining solution; Spectrum optimization; distributed coordination; game theory; interference channel; multiple access channel;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2008.080906
  • Filename
    4604734