• DocumentCode
    2529223
  • Title

    Greedy multiuser detection over single-path fading channel

  • Author

    AlRustamani, Amina ; Vojcic, Branimir

  • Author_Institution
    Dept. of Electr. & Comput. Eng., George Washington Univ., Washington, DC, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    708
  • Abstract
    In this paper, we present a greedy multiuser detector for code-division multiple-access (CDMA) systems in single-path Rayleigh fading channel. In this approach the coefficients of the maximum likelihood (ML) metric are utilized as weights indicating the order in which bits can be estimated, i.e. we take into consideration the order of the coefficients contribution to the ML metric. The complexity of the algorithm is O(K2 log K) per bit interval, where K is the number of users. The results show that the greedy algorithm achieves near-optimum performance if there is a significant imbalance in the values of the coefficients resulting from fading, asynchronous transmission and in the low to moderate signal-to-noise ratio (SNR) region. For the high SNR region the performance reaches an error floor, which can be eliminated at the expense of insignificant increase in the complexity of the algorithm
  • Keywords
    Rayleigh channels; code division multiple access; computational complexity; maximum likelihood detection; maximum likelihood estimation; multiuser channels; spread spectrum communication; CDMA systems; Rayleigh fading channel; algorithm complexity; asynchronous transmission; code-division multiple-access systems; greedy multiuser detection; maximum likelihood metric; near-optimum performance; signal-to-noise ratio; single-path fading channel; AWGN; Bandwidth; Detectors; Fading; Greedy algorithms; Iterative algorithms; Maximum likelihood estimation; Multiaccess communication; Multiuser detection; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications, 2000 IEEE Sixth International Symposium on
  • Conference_Location
    Parsippany, NJ
  • Print_ISBN
    0-7803-6560-7
  • Type

    conf

  • DOI
    10.1109/ISSSTA.2000.876526
  • Filename
    876526