• DocumentCode
    1273377
  • Title

    Hopfield multiuser detection of asynchronous MC-CDMA signals in multipath fading channels

  • Author

    Soujeri, Ebrahim ; Bilgekul, Huseyin

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
  • Volume
    6
  • Issue
    4
  • fYear
    2002
  • fDate
    4/1/2002 12:00:00 AM
  • Firstpage
    147
  • Lastpage
    149
  • Abstract
    Multiuser reception using Hopfield neural network (HNN) for asynchronous multicarrier code-division multiple access (MC-CDMA) in a multipath fading channel is investigated. We have shown that by the appropriate choice of HNN parameters from the channel state information, the HNN can collectively resolve the multipath fading effects and the multiple-access interference in the system.
  • Keywords
    Hopfield neural nets; code division multiple access; fading channels; interference suppression; multipath channels; multiuser channels; signal detection; HNN parameters; Hopfield neural network; asynchronous MC-CDMA signals; channel state information; multicarrier code-division multiple access; multipath fading channels; multiple-access interference; multiuser detection; Channel state information; Detectors; Fading; Hopfield neural networks; Multiaccess communication; Multicarrier code division multiple access; Multiple access interference; Multiuser detection; Propagation delay; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/4234.996039
  • Filename
    996039