• DocumentCode
    169338
  • Title

    Correlation between channel state and information source with empirical coordination constraint

  • Author

    Le Treust, Mael

  • Author_Institution
    ETIS, Univ. de Cergy-Pontoise, Cergy-Pontoise, France
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    272
  • Lastpage
    276
  • Abstract
    Correlation between channel state and source symbol is under investigation for a joint source-channel coding problem. We investigate simultaneously the lossless transmission of information and the empirical coordination of channel inputs with the symbols of source and states. Empirical coordination is achievable if the sequences of source symbols, channel states, channel inputs and channel outputs are jointly typical for a target joint probability distribution. We characterize the joint distributions that are achievable under lossless decoding constraint. The performance of the coordination is evaluated by an objective function. For example, we determine the minimal distortion between symbols of source and channel inputs for lossless decoding. We show that the correlation source/channel state improves the feasibility of the transmission.
  • Keywords
    combined source-channel coding; decoding; probability; empirical coordination constraint; information source; joint source-channel coding problem; lossless decoding constraint; objective function; source symbols; state dependent channel; target joint probability distribution; Correlation; Decoding; Encoding; Equations; Joints; Probability distribution; Random variables; Empirical Coordination; Empirical Distribution of Symbols; Joint Source-Channel Coding Problem; Non-Causal Encoding/Decoding; Shannon Theory; State-dependent Channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2014 IEEE
  • Conference_Location
    Hobart, TAS
  • ISSN
    1662-9019
  • Type

    conf

  • DOI
    10.1109/ITW.2014.6970835
  • Filename
    6970835