• DocumentCode
    2955285
  • Title

    A software simulation testbed for multi-user detection based on modified Hopfield network

  • Author

    Manai, Nejah ; Ayed, R.B. ; Bouallegue, Ridha

  • Author_Institution
    Dept. of Electr. Eng., El Manar Univ., Tunis, Tunisia
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    335
  • Lastpage
    338
  • Abstract
    Several examinations have shown the drawbacks of single user detectors (SUD) and forced a new concept of suitable multiuser detection schemes to increase the efficiency against interference in mobile communication systems. Some suboptimal solution are only available at this moment because of the complexity of implementing the optimal detector. One of this solutions is the recurrent neural network structure. This algorithm shows a high level performance close to the optimal detector. In this paper, the noisy Hopfield network is proposed as MUD structure and simulated through a wireless CDMA multiuser link using Simulink and Matlab. This structure seem to have superior performance compared with the original Hopfield while only a few more iterations is needed.
  • Keywords
    Hopfield neural nets; code division multiple access; iterative methods; learning (artificial intelligence); mobile radio; multiuser detection; radiofrequency interference; telecommunication computing; Hopfield network; iteration methods; mobile communication systems; multiuser detection schemes; recurrent neural network structure; single user detectors; software simulation testbed; wireless CDMA multiuser link; Chaotic communication; Detectors; Hopfield neural networks; Interference cancellation; Laboratories; Mobile communication; Multiaccess communication; Multiuser detection; Neural networks; Software testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Communications and Signal Processing, 2004. First International Symposium on
  • Print_ISBN
    0-7803-8379-6
  • Type

    conf

  • DOI
    10.1109/ISCCSP.2004.1296295
  • Filename
    1296295