• DocumentCode
    821028
  • Title

    Predictive closed-loop power control scheme with comb-type sample arrangement for code division multiple access cellular networks

  • Author

    Choe, S. ; Uysal, M.

  • Author_Institution
    Sch. of Inf., Catholic Univ. of Korea, Bucheon
  • Volume
    2
  • Issue
    7
  • fYear
    2008
  • fDate
    8/1/2008 12:00:00 AM
  • Firstpage
    909
  • Lastpage
    917
  • Abstract
    The authors present and analyse a predictive closed-loop power control (CLPC) scheme, which employs a comb-type sample arrangement to effectively compensate multiple power control group delays over mobile fading channels. The authors consider both least squares and recursive least squares filters in our CLPC scheme. The effects of channel estimation error, prediction filter error and power control bit transmission error on the performance of the proposed CLPC method along with competing non-predictive and predictive CLPC schemes are thoroughly investigated. The results clearly indicate the superiority of the proposed scheme with its improved robustness under non-ideal conditions. Furthermore, the authors carry out a Monte-Carlo simulation study of a 5%5 square grid cellular network and evaluate the user capacity. Capacity improvements up to 90% are observed for a typical cellular network scenario.
  • Keywords
    Monte Carlo methods; cellular radio; channel estimation; closed loop systems; code division multiple access; fading channels; least squares approximations; power control; recursive filters; telecommunication control; CLPC; Monte-Carlo simulation; channel estimation error; code division multiple access cellular networks; comb-type sample arrangement; mobile fading channels; multiple power control group delays; power control bit transmission error; prediction filter error; predictive closed-loop power control scheme; recursive least squares filters;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com:20070501
  • Filename
    4584223