• DocumentCode
    890380
  • Title

    On the joint source-channel coding error exponent for discrete memoryless systems

  • Author

    Zhong, Yangfan ; Alajaji, Fady ; Campbell, L. Lorne

  • Author_Institution
    Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    52
  • Issue
    4
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    1450
  • Lastpage
    1468
  • Abstract
    We investigate the computation of Csisza´r´s bounds for the joint source-channel coding (JSCC) error exponent EJ of a communication system consisting of a discrete memoryless source and a discrete memoryless channel. We provide equivalent expressions for these bounds and derive explicit formulas for the rates where the bounds are attained. These equivalent representations can be readily computed for arbitrary source-channel pairs via Arimoto´s algorithm. When the channel´s distribution satisfies a symmetry property, the bounds admit closed-form parametric expressions. We then use our results to provide a systematic comparison between the JSCC error exponent EJ and the tandem coding error exponent ET, which applies if the source and channel are separately coded. It is shown that ET≤EJ≤2ET. We establish conditions for which EJ>ET and for which EJ=2ET. Numerical examples indicate that EJ is close to 2ET for many source-channel pairs. This gain translates into a power saving larger than 2 dB for a binary source transmitted over additive white Gaussian noise (AWGN) channels and Rayleigh-fading channels with finite output quantization. Finally, we study the computation of the lossy JSCC error exponent under the Hamming distortion measure.
  • Keywords
    AWGN channels; Hamming codes; Rayleigh channels; combined source-channel coding; discrete systems; distortion measurement; memoryless systems; vector quantisation; AWGN; Arimoto´s algorithm; Csiszars bound computation; Hamming distortion measurement; JSCC error exponent; Rayleigh-fading channel; additive white Gaussian noise channel; binary source transmission; closed-form parametric expression; communication system; discrete memoryless channel; discrete memoryless source; joint source-channel coding; quantization; tandem coding; AWGN; Additive white noise; Channel coding; Delay; Distortion measurement; Loss measurement; Memoryless systems; Quantization; Rayleigh channels; Redundancy; Discrete memoryless sources and channels; Fenchel´s duality; Hamming distortion measure; error exponent; joint source–channel coding; random-coding exponent; reliability function; sphere-packing exponent; symmetric channels; tandem source and channel coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.871608
  • Filename
    1614076