• DocumentCode
    3276584
  • Title

    Performance analysis for coded multiuser CDMA systems with optimum joint multiuser decoding/detection

  • Author

    Zhang, Jianqiu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., State Univ. of New York, Stony Brook, NY, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    172
  • Abstract
    Optimum joint multiuser decoding/detection in coded CDMA systems is computationally prohibitive. However, iterative methods were shown to be computationally manageable while providing near optimum performance. With these advances, one can not help asking the question:“what is the the optimum performance possible in a coded CDMA multiuser system?” In the past, performance analysis in terms of asymptotic efficiency was mentioned in [3]. While such analysis is useful at very high signal to noise ratio (SNR), it may not be accurate enough in lower ranges of SNR. We first derive a precise formula for the probability of an error event which is represented by an error matrix. Then, an approximation of the bit error rate (BER) performance is given
  • Keywords
    code division multiple access; decoding; encoding; error statistics; multiuser channels; noise; optimisation; signal detection; BER performance approximation; BPSK; SNR; asymptotic efficiency; binary phase shift keying; bit error rate; coded multiuser CDMA systems; error event probability; error matrix; iterative methods; optimum joint multiuser decoding/detection; optimum performance; performance analysis; signal to noise; synchronous coded CDMA system; Additive noise; Bit error rate; Decoding; Error correction codes; Event detection; Gaussian noise; Interleaved codes; Multiaccess communication; Performance analysis; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7123-2
  • Type

    conf

  • DOI
    10.1109/ISIT.2001.936035
  • Filename
    936035