• DocumentCode
    3603482
  • Title

    Power Control in Networks With Heterogeneous Users: A Quasi-Variational Inequality Approach

  • Author

    Stupia, Ivan ; Sanguinetti, Luca ; Bacci, Giacomo ; Vandendorpe, Luc

  • Author_Institution
    Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
  • Volume
    63
  • Issue
    21
  • fYear
    2015
  • Firstpage
    5691
  • Lastpage
    5705
  • Abstract
    This paper deals with the power allocation problem in a multipoint-to-multipoint network, which is heterogenous in the sense that each transmit and receiver pair can arbitrarily choose whether to selfishly maximize its own rate or energy efficiency. This is achieved by modeling the transmit and receiver pairs as rational players that engage in a noncooperative game in which the utility function changes according to each player´s nature. The underlying game is reformulated as a quasi variational inequality (QVI) problem using convex fractional program theory. The equivalence between the QVI and the noncooperative game provides us with all the mathematical tools to study the uniqueness of its Nash equilibrium points and to derive novel algorithms that allow the network to converge to these points in an iterative manner, both with and without the need for a centralized processing. Numerical results are used to validate the proposed solutions in different operating conditions.
  • Keywords
    convex programming; energy conservation; game theory; iterative methods; radio receivers; radio transmitters; telecommunication power management; variational techniques; Nash equilibrium; QVI problem; centralized processing; convex fractional program theory; energy efficiency; heterogeneous network user; iterative manner; multipoint-to-multipoint network; noncooperative game; power allocation problem; power control; quasivariational inequality approach; radio receiver; radio transmitter; Games; Interference; Power control; Radio transmitters; Receivers; Resource management; Wireless communication; Centralized power control; Nash equilibria; distributed power control; energy efficiency maximization; heterogeneous users; quasi-variational inequality; spectral efficiency maximization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2015.2452231
  • Filename
    7145476