• DocumentCode
    692783
  • Title

    Power control using Fuzzy Genetic to enhance WCDMA capacity

  • Author

    Firdaus ; Astuti, Rina Pudji ; Muayyadi, Aly

  • Author_Institution
    Dept. of Electr. Eng., Univ. Islam Indonesia, Sleman, Indonesia
  • fYear
    2013
  • fDate
    3-4 Dec. 2013
  • Firstpage
    84
  • Lastpage
    88
  • Abstract
    The capacity of WCDMA cell is impacted by interference. Power control reduce fading channels and co-channel interference. WCDMA system require quick and exactly power control. Fuzzy Genetic Algorithm (FGA) deliver the good response to the dynamic and random situations. This paper show application of FGA power control on WCDMA. FGA power control able to increase system capacity by 13.25% and can reduce the BER of the system by 13% compared to the use of fixed step power control.
  • Keywords
    channel capacity; cochannel interference; code division multiple access; error statistics; fading channels; fuzzy control; genetic algorithms; interference suppression; power control; BER; FGA; WCDMA cell capacity enhancement; cochannel interference reduction; dynamic situations; fading channel interference reduction; fuzzy genetic algorithm; power control; random situations; Bit error rate; Fading; Genetic algorithms; Interference; Multiaccess communication; Power control; Spread spectrum communication; Capacity; Control; Fuzzy; Genetic Algorithm; Power SIR; WCDMA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Networks and Satellite (COMNETSAT), 2013 IEEE International Conference on
  • Conference_Location
    Yogyakarta
  • Type

    conf

  • DOI
    10.1109/COMNETSAT.2013.6870866
  • Filename
    6870866