• DocumentCode
    2058065
  • Title

    A generalized Nash game for energy efficiency optimization: A quasi variational inequality approach

  • Author

    Stupia, I. ; Vandendorpe, Luc

  • Author_Institution
    Inst. of Inf. & Commun. Technol., Electron. & Appl. Math., Univ. Catholique de Louvain, Louvain la Neuve, Belgium
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the Nash equilibrium problem for a multipoint-to-multipoint network whose nodes aim at maximizing their energy efficiency. The original game is reformulated as a max-rate generalized Nash equilibrium problem with coupling among the strategy sets of the players, thus revealing the relationship between the spectral efficiency-and the energy efficiency-based equilibrium points in such a competitive scenario. This general game is then modeled resorting to the quasi-variational inequality framework. This provides us with all the mathematical tools necessary to analyze the features of the equilibrium points and devise novel distributed algorithms.
  • Keywords
    game theory; radio networks; telecommunication power management; energy efficiency maximization; energy efficiency optimization; energy efficiency-based equilibrium points; generalized Nash equilibrium problem; mathematical tools; multipoint-to-multipoint network; quasi variational inequality approach; spectral efficiency; Games; Green products; Nash equilibrium; Optimization; Resource management; Vectors; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
  • Conference_Location
    Marrakech
  • Type

    conf

  • Filename
    6811614