• DocumentCode
    1302341
  • Title

    Source and Channel Coding for Correlated Sources Over Multiuser Channels

  • Author

    Gündüz, Deniz ; Erkip, Elza ; Goldsmith, Andrea ; Poor, H. Vincent

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
  • Volume
    55
  • Issue
    9
  • fYear
    2009
  • Firstpage
    3927
  • Lastpage
    3944
  • Abstract
    Source and channel coding over multiuser channels in which receivers have access to correlated source side information are considered. For several multiuser channel models necessary and sufficient conditions for optimal separation of the source and channel codes are obtained. In particular, the multiple-access channel, the compound multiple-access channel, the interference channel, and the two-way channel with correlated sources and correlated receiver side information are considered, and the optimality of separation is shown to hold for certain source and side information structures. Interestingly, the optimal separate source and channel codes identified for these models are not necessarily the optimal codes for the underlying source coding or the channel coding problems. In other words, while separation of the source and channel codes is optimal, the nature of these optimal codes is impacted by the joint design criterion.
  • Keywords
    combined source-channel coding; multi-access systems; multiuser channels; channel coding; compound multiple-access channel; correlated sources; interference channel; multiuser channels; source coding; two-way channel; Channel capacity; Channel coding; Communication systems; Information theory; Interference channels; Multiuser channels; Propagation losses; Reliability theory; Source coding; Sufficient conditions; Network information theory; separation theorem; source and channel coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2009.2025566
  • Filename
    5208475