• DocumentCode
    395752
  • Title

    Optimal, suboptimal and adaptive threshold policies for power efficiency of wireless networks

  • Author

    Kabamba, P.T. ; Meerkov, S.M. ; Tang, C.Y.

  • Author_Institution
    Departemnt of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    11-15 May 2003
  • Firstpage
    45
  • Abstract
    In this paper, we prove that the optimal power-efficient transmission policy, which ensures a desired throughput in a wireless network, is necessarily of threshold nature. Although detailed properties of this policy might be quite complicated, we show that it can be approximated by a suboptimal one, which is both simple and practical. This suboptimal policy may lead to substantial improvement in power-efficiency (compared to the widely used constant SNR policy), but at the expense of location-fairness. To alleviate this deficiency, we introduce an adaptive threshold policy and show that it is both relatively power-efficient and location-fair.
  • Keywords
    mobile radio; SNR policy; adaptive threshold policy; location-fairness; mobile radio; optimal transmission policy; power-efficiency; signal to noise ratio; suboptimal policy; threshold nature; wireless network; Base stations; Delay; Electronic mail; Energy consumption; Mobile computing; Propagation losses; Random processes; Signal to noise ratio; Throughput; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2003. ICC '03. IEEE International Conference on
  • Print_ISBN
    0-7803-7802-4
  • Type

    conf

  • DOI
    10.1109/ICC.2003.1204140
  • Filename
    1204140