• DocumentCode
    1456488
  • Title

    Communicating Linear Functions of Correlated Gaussian Sources Over a MAC

  • Author

    Soundararajan, Rajiv ; Vishwanath, Sriram

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • Volume
    58
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    1853
  • Lastpage
    1860
  • Abstract
    This paper considers the problem of transmitting linear functions of two correlated Gaussian sources over a two-user additive Gaussian noise multiple access channel. The goal is to recover this linear function within an average mean squared error distortion criterion. Each transmitter has access to only one of the two Gaussian sources and is limited by an average power constraint. In this paper, a lattice coding scheme and two lower bounds on the achievable distortion are presented. The lattice scheme achieves within a constant of a distortion lower bound if the signal-to-noise ratio is greater than a threshold. Furthermore, for the difference of correlated Gaussian sources, uncoded transmission is shown to be worse in performance to lattice coding methods for correlation coefficients above a threshold.
  • Keywords
    AWGN channels; channel coding; correlation theory; distortion; multi-access systems; radio transmitters; Gaussian source; MAC; average mean squared error distortion criterion; average power constraint; correlated Gaussian source; correlation coefficient; lattice coding scheme; lattice scheme; linear function communication; linear function transmission; signal-to-noise ratio; two-user additive Gaussian noise multiple access channel; Joints; Lattices; Random variables; Receivers; Source coding; Transmitters; Distributed communication; Gaussian multiple access channel (MAC); joint source channel coding; lattice codes;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2173632
  • Filename
    6157086