• DocumentCode
    1373479
  • Title

    Interference Channels With Correlated Receiver Side Information

  • Author

    Liu, Nan ; Gündüz, Deniz ; Goldsmith, Andrea J. ; Poor, H. Vincent

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
  • Volume
    56
  • Issue
    12
  • fYear
    2010
  • Firstpage
    5984
  • Lastpage
    5998
  • Abstract
    The problem of joint source-channel coding in transmitting independent sources over interference channels with correlated receiver side information is studied. When each receiver has side information correlated with its own desired source, it is shown that source-channel separation is optimal. When each receiver has side information correlated with the interfering source, sufficient conditions for reliable transmission are provided based on a joint source-channel coding scheme using the superposition encoding and partial decoding idea of Han and Kobayashi. When the receiver side information is a deterministic function of the interfering source, source-channel separation is again shown to be optimal. In addition to these source-channel coding problems, a new channel model that generalizes the classical interference channel is introduced: the interference channel with message side information. Achievable rate regions are given and a single letter characterization of the capacity region for a special class of Z-interference channels is provided. Using this capacity result and the optimality of source-channel separation, we demonstrate that our sufficient conditions for reliable transmission when each receiver has side information correlated with the interfering source are also necessary for some special cases. As a by-product, the capacity region of a class of Z-channels with degraded message sets is also provided.
  • Keywords
    combined source-channel coding; decoding; radiofrequency interference; source separation; wireless channels; Z-interference channels; correlated receiver side information; joint source-channel coding scheme; message side information; partial decoding; source-channel separation; superposition encoding; transmission reliabilty; Channel coding; Channel models; Interference channels; Receivers; Sufficient conditions; Interference channel; joint source-channel coding; receiver side information; source-channel separation theorem;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2080930
  • Filename
    5625627