• DocumentCode
    970402
  • Title

    An opportunistic power control algorithm for cellular network

  • Author

    Leung, Kin-Kwong ; Sung, Chi Wan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC
  • Volume
    14
  • Issue
    3
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    470
  • Lastpage
    478
  • Abstract
    We propose an opportunistic power control algorithm, which exploits channel fluctuation in order to maximize system throughput. The basic idea is that it instructs a transmitter to increase its power when the channel is good and to decrease its power when the channel is bad. The transmission rate is adjusted according to the received signal-to-interference ratio. The proposed algorithm is distributed and can be applied to systems in which the transmitters are connected to different receivers. We prove that the algorithm always converge to a unique fixed point and thus is stable. Simulation results show that a tremendous increase in system capacity can be achieved, when compared with other power control algorithms. Furthermore, the algorithm works well for nonreal-time terminals when other real-time terminals employ the target-tracking power control. It can also be extended to cases where maximum power constraint is imposed and soft handoff is executed
  • Keywords
    cellular radio; power control; target tracking; telecommunication control; wireless channels; cellular network; channel fluctuation; nonreal-time terminals; power control algorithm; signal-to-interference ratio; target-tracking power control; Delay; Fluctuations; Game theory; Interference constraints; Land mobile radio cellular systems; Power control; Resource management; Target tracking; Throughput; Transmitters; Distributed algorithms; game theory; opportunistic power control; wireless networks;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2006.876148
  • Filename
    1642728