• DocumentCode
    2377306
  • Title

    Subchannel power control for MC-CDMA system using fuzzy genetic algorithm

  • Author

    Nachiappan, Alamelu ; Dananjayan, P.

  • Author_Institution
    Electr. & Electron. Eng., Pondicherry Eng. Coll.
  • fYear
    0
  • fDate
    0-0 0
  • Lastpage
    5
  • Abstract
    This paper is based on an application of signal to interference ratio (SIR) based power controller originally proposed for DS-CDMA system using fuzzy genetic algorithm (FGA), extended to MC-CDMA system. Instead of controlling the power of each of subcarrier, this algorithm assigns the same level of power to a band of subcarriers allocated to each subchannel. The proposed power control mechanism can be applied to MC-CDMA system in an uplink transmission. The fuzzy genetic power controller results in an increased system capacity with considerable reduction in the BER
  • Keywords
    code division multiple access; error statistics; fuzzy set theory; genetic algorithms; telecommunication control; BER; DS-CDMA system; MC-CDMA system; fuzzy genetic algorithm; fuzzy genetic power controller; signal-to-interference ratio based power controller; subchannel power control; system capacity; uplink transmission; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Genetic engineering; Multiaccess communication; Multicarrier code division multiple access; Power control; Power system modeling; BER; FGA; MC-CDMA; Power control; SIR; outage probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Optical Communications Networks, 2006 IFIP International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    1-4244-0340-5
  • Type

    conf

  • DOI
    10.1109/WOCN.2006.1666590
  • Filename
    1666590