• DocumentCode
    3064443
  • Title

    On the separation of lossy source-network coding and channel coding in wireline networks

  • Author

    Jalali, Shirin ; Effros, Michelle

  • Author_Institution
    Center for Math. of Inf., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    500
  • Lastpage
    504
  • Abstract
    This paper proves the separation between source-network coding and channel coding in networks of noisy, discrete, memoryless channels. We show that the set of achievable distortion matrices in delivering a family of dependent sources across such a network equals the set of achievable distortion matrices for delivering the same sources across a distinct network which is built by replacing each channel by a noiseless, point-to-point bit-pipe of the corresponding capacity. Thus a code that applies source-network coding across links that are made almost lossless through the application of independent channel coding across each link asymptotically achieves the optimal performance across the network as a whole.
  • Keywords
    channel coding; matrix algebra; source coding; channel coding; distortion matrices; lossy source-network coding; noisy discrete memoryless channels; wireline networks; Channel coding; Mathematics; Memoryless systems; Network coding; Paper technology; Performance loss; Random variables; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513477
  • Filename
    5513477