• DocumentCode
    2479745
  • Title

    Error probability bound for reduced complexity multiuser decoding using orthogonal decomposability

  • Author

    Fain, Eric A. ; Varanasi, Mahesh K.

  • Author_Institution
    Dept. of Electr. Eng., Colorado Univ., Boulder, CO, USA
  • fYear
    1998
  • fDate
    16-21 Aug 1998
  • Firstpage
    341
  • Abstract
    We develop an upper bound on the error probability of the reduced-complexity group-metric multiuser convolutional decoder. This error bound results from discarding a class of redundant error sequences which are orthogonally decomposable. Indecomposable sequences for uncoded multiuser detection were introduced previously for the non-fading channel, and their enumeration is computationally intensive. By restricting attention to orthogonally decomposable error sequences for the fading channel, we can characterize sequences whose decomposability is independent of the fading parameters. Furthermore, we can easily compute this bound by evaluating the generating function of the encoder of the user in question
  • Keywords
    computational complexity; convolutional codes; decoding; error statistics; fading channels; multiuser channels; sequences; encoder; error probability bound; fading channel; fading parameters; generating function; group-metric multiuser convolutional decoder; orthogonal decomposability; orthogonally decomposable error sequences; reduced complexity multiuser decoding; redundant error sequences; uncoded multiuser detection; upper bound; Character generation; Convolutional codes; Decoding; Error correction; Error probability; Fading; Matched filters; Propagation losses; Rayleigh channels; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-5000-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1998.708946
  • Filename
    708946