• DocumentCode
    105494
  • Title

    Energy-Aware Competitive Power Control in Relay-Assisted Interference Wireless Networks

  • Author

    Zappone, Alessio ; Zhijiat Chong ; Jorswieck, Eduard A. ; Buzzi, Stefano

  • Author_Institution
    Commun. Lab., Dresden Univ. of Technol., Dresden, Germany
  • Volume
    12
  • Issue
    4
  • fYear
    2013
  • fDate
    Apr-13
  • Firstpage
    1860
  • Lastpage
    1871
  • Abstract
    Competitive power control for energy efficiency maximization in wireless interference networks is addressed, for the scenarios in which the users´ SINR can be expressed as either (a) γ = (αp)/(φp + ω), or (b) γ = (αp + βp2)/(φp + ω), with p the user´s transmit power. The considered SINR expressions naturally arise in relay-assisted systems. The energy efficiency is measured in bit/Joule and is defined as the ratio of a proper function of the SINR, divided by the consumed power. Unlike most previous related works, in the definition of the consumed power, not only the transmit power, but also the circuit power needed to operate the devices is accounted for. A non-cooperative game theoretic approach is employed and distributed power control algorithms are proposed. For both SINR expressions (a) and (b), it is shown that the competitive power allocation problem always admits a Nash equilibrium. Moreover, for the SINR (a), the equilibrium is also shown to be unique and the best-response dynamic is guaranteed to converge to such unique equilibrium. For the two-user case, the efficient computation of the Pareto frontier of the considered game is addressed, and, for benchmarking purposes, a social optimum solution with fairness constraint is derived.
  • Keywords
    game theory; power control; radio networks; radiofrequency interference; radiofrequency power transmission; relay networks (telecommunication); telecommunication control; Nash equilibrium; Pareto frontier; SINR expressions; benchmarking purposes; circuit power; competitive power allocation problem; distributed power control algorithms; energy efficiency maximization; energy-aware competitive power control; fairness constraint; noncooperative game theoretic approach; power consumption; power transmission; relay-assisted interference wireless interference networks; social optimum solution; two-user case; Games; Interference; Power control; Receivers; Relays; Signal to noise ratio; Transmitters; Interference channel; Nash equilibrium; energy efficiency; game theory; heterogeneous networks; power control;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2013.031313.121103
  • Filename
    6485028