• DocumentCode
    2726386
  • Title

    Integrated Hybrid Channel Assignment and Distributed Power Control in Wireless Cellular Networks using Evolution Strategy

  • Author

    Farid, Tahira ; Ngom, Alioune ; Jaekel, Arunita

  • Author_Institution
    Sch. of Comput. Sci., Windsor Univ., Ont.
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    293
  • Lastpage
    300
  • Abstract
    The channel assignment problem is the problem of determining an optimal allocation of channels to mobile users that minimizes call-blocking and call-dropping probabilities. The power control problem is the problem of determining an optimal allocation of power levels to transmitters such that minimizes power consumption. In wireless mobile networks, channels and transmitter powers are limited resources and an efficient use of both these resources can greatly increase the network´s capacity. However, very few papers have attempted to concurrently optimize both resource with significant success. We propose a multi-objective evolution strategy that combines the optimizations of channel assignment and power control. Preliminary results show substantial increase in network´s capacity when compared with some current channel assignment method
  • Keywords
    cellular radio; channel allocation; distributed control; evolutionary computation; minimisation; optimal control; power control; probability; radio transmitters; call-blocking probability minimization; call-dropping probability; distributed power control; integrated hybrid channel assignment; mobile users; multiobjective evolution strategy; network capacity; optimal channel allocation; optimal power level allocation; power consumption; resource optimization; transmitters; wireless cellular networks; Base stations; Computational intelligence; Computer science; Energy consumption; Frequency; Interference constraints; Land mobile radio cellular systems; Power control; Signal processing; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0707-9
  • Type

    conf

  • DOI
    10.1109/CIISP.2007.369184
  • Filename
    4221434