• DocumentCode
    2203946
  • Title

    Power allocation based on power efficiency in uplink OFDMA systems: A game theoretic approach

  • Author

    Yu, Dixiong ; Wu, Dan ; Cai, Yueming ; Zhong, Wei

  • Author_Institution
    Inst. of Commun. Eng., PLAUST, Nanjing, China
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    In this paper, a joint power and subcarrier allocation scheme in single-cell uplink OFDMA systems is proposed based on game theory. Our goal is to maximize the power efficiency of each user under peak power constraint. For the purpose, a utility function is designed which can enhance the rate per joule of energy consumed greatly, and the existence and uniqueness of the Nash equilibrium of the function is proved. To bring Pareto improvement, and to overcome the far-near effect, the pricing scheme is introduced. The simulation results show that the power efficiency of the proposed algorithm increases greatly over that of the MaxRt+WF (maximal marginal rate subcarrier and waterfilling power allocation) and MaxFA+WF (fixed subcarrier allocation and waterfilling power allocation).
  • Keywords
    OFDM modulation; Pareto analysis; frequency division multiple access; game theory; Nash equilibrium; Pareto improvement; far-near effect; fixed subcarrier allocation; game theoretic approach; joint power and subcarrier allocation scheme; maximal marginal rate subcarrier; orthogonal frequency division modulation; peak power constraint; power efficiency; single-cell uplink OFDMA system; waterfilling power allocation; Downlink; Frequency conversion; Game theory; Interference constraints; Nash equilibrium; OFDM; Power engineering and energy; Power system modeling; Pricing; Resource management; OFDMA; non-cooperative game theory; pricing; resource allocation; uplink;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-2423-8
  • Electronic_ISBN
    978-1-4244-2424-5
  • Type

    conf

  • DOI
    10.1109/ICCS.2008.4737150
  • Filename
    4737150