• DocumentCode
    2029515
  • Title

    Sending a Bivariate Gaussian Source over a Gaussian MAC with Feedback

  • Author

    Lapidoth, A. ; Tinguely, S.

  • Author_Institution
    Signal & Inf. Process. Lab., ETH Zurich, Zurich
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    2246
  • Lastpage
    2250
  • Abstract
    We consider the problem of transmitting a bivariate Gaussian source over a two-user additive Gaussian multiple-access channel with feedback. Each of the transmitters observes one of the source components and tries to describe it to the common receiver. We are interested in the minimal mean squared error at which the receiver can reconstruct each of the source components. In the "symmetric case" we show that, below a certain signal-to-noise ratio threshold which is determined by the source correlation, feedback is useless and the minimal distortion is achieved by uncoded transmission. For the general case we give necessary conditions for the achievability of a distortion pair.
  • Keywords
    Gaussian processes; fading channels; least mean squares methods; multi-access systems; transmitters; Gaussian MAC; Gaussian multiple-access channel; bivariate Gaussian source; feedback; minimal mean squared error; receiver; signal-to-noise ratio threshold; source correlation; transmitters; uncoded transmission; Additive noise; Channel coding; Distortion measurement; Information processing; Laboratories; Output feedback; Random variables; Signal processing; Source coding; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557554
  • Filename
    4557554