• DocumentCode
    266875
  • Title

    Power-controlled multiple access with a queue-dependent backoff threshold

  • Author

    Mounzer, Jeffrey ; Schubert, Kevin ; Bambos, Nicholas ; Goldsmith, Andrea

  • Author_Institution
    Electr. Eng. Dept., Stanford Univ., Stanford, CA, USA
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    4738
  • Lastpage
    4744
  • Abstract
    We propose and evaluate a new distributed algorithm for transmit power control (TPC) in wireless networks. We cast the TPC problem as a dynamic program which captures a fundamental tradeoff between transmit power and delay, and we use its solution to inform our design. The resulting algorithm is reminiscent of existing TPC approaches which seek to have each link maintain a constant signal-to-interference-plus-noise ratio (SINR), but with a key difference: a queue-dependent backoff threshold which allows links to temporarily stop transmitting when the interference grows too large. In high interference scenarios, this difference allows our algorithm to automatically induce a network behavior similar to time-division multiple access (TDMA), without any explicit cross-link coordination. As a result of this behavior, we demonstrate that our algorithm can provide substantial throughput improvements over previous schemes.
  • Keywords
    distributed algorithms; dynamic programming; interference suppression; power control; queueing theory; radio networks; time division multiple access; SINR; TDMA; TPC problem; delay; distributed algorithm; dynamic program; power controlled multiple access; queue dependent backoff threshold; signal-to-interference-plus-noise ratio; throughput improvements; time division multiple access; transmit power control; wireless networks; Algorithm design and analysis; Frequency modulation; Heuristic algorithms; Interference; Power control; Signal to noise ratio; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037556
  • Filename
    7037556