• DocumentCode
    3504971
  • Title

    Multirate Multiuser DS/CDMA with Genetic Algorithm Detection in Multipath Channels

  • Author

    Ciriaco, Fernando ; Abrão, Taufik ; Jeszensky, Paul Jean E

  • Author_Institution
    Dept. de Engenharia Electrica, State Univ. of Londrina
  • fYear
    2006
  • fDate
    28-31 Aug. 2006
  • Firstpage
    128
  • Lastpage
    132
  • Abstract
    This work analyses a heuristic algorithm based on the genetic evolution theory applied to multirate multicode (MC) direct sequence code division multiple access (DS/CDMA) multiuser detection (GA-MC-MuD) in multipath fading channels. Monte-Carlo simulation results, in two multirate conditions, showed that the detection based on GA is a viable option when compared with the optimum MuD (OMuD). Even under hostile channel conditions and severe system operation (loading and errors in the channel coefficients and amplitudes estimates) the GA-MC-MuD performance results are promising. The GA-MC-MuD algorithm complexity is determined and compared with the OMuD based on the required number of computational operations, showing an expressive improvement in terms of complexity-performance trade-off when compared with the Rake receiver
  • Keywords
    Monte Carlo methods; code division multiple access; fading channels; genetic algorithms; multipath channels; multiuser detection; spread spectrum communication; DS-CDMA system; GA-MC-MuD; Monte-Carlo simulation; direct sequence code division multiple access; evolution theory; genetic algorithm; heuristic algorithm; hostile channel condition; multipath fading channels; multirate multicode; multiuser detection; Algorithm design and analysis; Filtering theory; Frequency; Genetic algorithms; Multiaccess communication; Multipath channels; Multiple access interference; Pulse shaping methods; Spread spectrum communication; Telecommunication control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on
  • Conference_Location
    Manaus-Amazon
  • Print_ISBN
    0-7803-9779-7
  • Electronic_ISBN
    0-7803-9780-0
  • Type

    conf

  • DOI
    10.1109/ISSSTA.2006.311748
  • Filename
    4100537