• DocumentCode
    1450041
  • Title

    Sending a Bivariate Gaussian Source Over a Gaussian MAC With Feedback

  • Author

    Lapidoth, Amos ; Tinguely, Stephan

  • Author_Institution
    Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
  • Volume
    56
  • Issue
    4
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    1852
  • Lastpage
    1864
  • Abstract
    We study the power-versus-distortion tradeoff for the transmission of a memoryless bivariate Gaussian source over a two-to-one Gaussian multiple-access channel with perfect causal feedback. In this problem, each of two separate transmitters observes a different component of a memoryless bivariate Gaussian source as well as the feedback from the channel output of the previous time-instants. Based on the observed source sequence and the feedback, each transmitter then describes its source component to the common receiver via an average-power constrained Gaussian multiple-access channel. From the resulting channel output, the receiver wishes to reconstruct each source component with the least possible expected squared-error distortion. We study the set of distortion pairs that can be achieved by the receiver on the two source components. We present sufficient conditions and necessary conditions for the achievability of a distortion pair. These conditions are expressed in terms of the source correlation and of the signal-to-noise ratio (SNR) of the channel. In several cases the necessary conditions and sufficient conditions are shown to agree. In particular, we show that if the channel SNR is below a certain threshold, then an uncoded transmission scheme that ignores the feedback is optimal. Thus, below this SNR-threshold, feedback is useless. We also derive the optimal high-SNR asymptotics.
  • Keywords
    Gaussian channels; feedback; multi-access systems; Gaussian MAC; Gaussian multiple-access channel; SNR-threshold; feedback; memoryless bivariate Gaussian source; power-versus-distortion tradeoff; receiver; signal-to-noise ratio; source correlation; source sequence; squared-error distortion; transmitter; uncoded transmission scheme; Covariance matrix; Gaussian channels; H infinity control; Information technology; Information theory; Output feedback; Signal to noise ratio; Sufficient conditions; Transmitters; Achievable distortion; Gaussian multiple-access channel with feedback; Gaussian source; combined source-channel coding; correlated sources; feedback; mean squared-error distortion; multiple-access channel with feedback; uncoded transmission;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2040870
  • Filename
    5437416