• DocumentCode
    890392
  • Title

    Slepian-Wolf coding over broadcast channels

  • Author

    Tuncel, Ertem

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Riverside, CA
  • Volume
    52
  • Issue
    4
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    1469
  • Lastpage
    1482
  • Abstract
    We discuss reliable transmission of a discrete memoryless source over a discrete memoryless broadcast channel, where each receiver has side information (of arbitrary quality) about the source unknown to the sender. When there are K=2 receivers, the optimum coding strategy using separate and stand-alone source and channel codes is to build two independent binning structures and send bin indices using degraded message sets through the channel, yielding a full characterization of achievable rates. However, as we show with an example, generalization of this technique to multiple binning schemes does not fully resolve the K>2 case. Joint source-channel coding, on the other hand, allows for a much simpler strategy (i.e., with no explicit binning) yielding a successful single-letter characterization of achievable rates for any Kges2. This characterization, which utilizes a trivial outer bound to the capacity region of general broadcast channels, is in terms of marginal source and channel distributions rather than a joint source-channel distribution. This contrasts with existing results for other multiterminal scenarios and implies that optimal schemes achieve "operational separation." On the other hand, it is shown with an example that an optimal joint source-channel coding strategy is strictly advantageous over the combination of stand-alone source and channel codes, and thus "informational separation" does not hold
  • Keywords
    broadcast channels; combined source-channel coding; discrete systems; memoryless systems; receivers; Slepian-Wolf coding; discrete memoryless broadcast channel; discrete memoryless source; independent binning structure; joint source-channel coding; multiterminal scenarios; operational separation; optimum coding strategy; receiver; reliable transmission; stand-alone source code; Decoding; Degradation; Humidity measurement; Information theory; Pressure measurement; Probability density function; Satellite broadcasting; Sensor phenomena and characterization; Temperature sensors; Time measurement; Broadcast channels; Slepian–Wolf; common information; degraded message sets; joint source–channel coding; multiterminal; separation theorem;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.871609
  • Filename
    1614077