• DocumentCode
    3126241
  • Title

    Expurgation for discrete multiple-access channels via linear codes

  • Author

    Haim, Eli ; Kochman, Yuval ; Erez, Uri

  • Author_Institution
    Dept. of EE-Syst., TAU, Tel Aviv, Israel
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    We consider the error exponent of the memoryless multiple-access (MAC) channel. We show that if the MAC channel is modulo-additive, then any error probability, and hence any error exponent, achievable by a linear code for the corresponding single-user channel, is also achievable for the MAC channel. Specifically, for an alphabet of prime cardinality, where linear codes achieve the best known exponents in the single-user setting (and the optimal exponent above the critical rate), this performance carries over to the MAC setting. At least at low rates, where expurgation is needed, our approach strictly improves performance over previous results, where expurgation was used at most for one of the users. Even when the MAC channel is not additive, it may be transformed into such a channel. While the transformation is lossy, we show that the distributed structure gain in some “nearly additive” cases outweighs the loss, and thus we can improve upon the best known exponent for these cases as well. This approach is related to that previously proposed for the Gaussian MAC channel, and is based on “distributed structure”.
  • Keywords
    Gaussian channels; channel coding; error statistics; linear codes; multi-access systems; Gaussian MAC channel; MAC setting; discrete multiple-access channels; distributed structure; distributed structure gain; error probability; linear codes; memoryless MAC channel; memoryless multiple-access channel; modulo-additive; prime cardinality alphabet; single-user channel; single-user setting; Additives; Decoding; Error probability; Linear code; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6284200
  • Filename
    6284200