• DocumentCode
    639920
  • Title

    Time-asynchronous Gaussian multiple access channel with correlated sources

  • Author

    Saffar, Hamidreza Ebrahimzadeh ; Mitran, Patrick

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    379
  • Lastpage
    383
  • Abstract
    We study the transmission of a pair of correlated sources over a Gaussian multiple access channel with weak time asynchronism between the encoders. In particular, we assume that the maximum possible offset dmax(n) between the transmitters grows without bound as the block length n → ∞ while the ratio dmax(n)/n of the maximum possible offset to the block length asymptotically vanishes. For such a joint source-channel coding problem, we derive the capacity region and also show that separate source and channel coding achieves optimal performance. Specifically, we first derive an outer bound on the source entropy content as our main result. Then, using Slepian-Wolf source coding combined with the channel coding introduced in [1], we show that the thus achieved inner bound matches the outer bound.
  • Keywords
    Gaussian channels; channel coding; source coding; Slepian-Wolf source coding; block length; correlated sources; joint source channel coding problem; source entropy content; time asynchronous Gaussian multiple access channel; weak time asynchronism; Channel coding; Joints; Reliability; Synchronization; Transmitters; Multiple-access channel; correlated sources; joint source-channel coding; time asynchronism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620252
  • Filename
    6620252