• DocumentCode
    8211
  • Title

    Gaussian State Amplification with Noisy Observations

  • Author

    Chao Tian ; Bandemer, Bernd ; Shamai Shitz, Shlomo

  • Author_Institution
    AT&T Labs.-Res., Bedminster, NJ, USA
  • Volume
    61
  • Issue
    9
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    4587
  • Lastpage
    4597
  • Abstract
    We consider the problem of channel state amplification in a Gaussian channel with additive Gaussian channel states, where the encoder observes noncausally a noisy version of these states. A complete characterization is provided for the minimum reconstruction distortion under a transmitter power constraint, and it is shown that a simple analog scheme with power control is optimal. More precisely, if the power available to the encoder is below certain threshold, the analog scheme using full power is optimal, however, when the power available to the encoder is above that threshold, analog transmission using only a fixed amount of the available power is optimal. Furthermore, the problem of simultaneous message transmission and Gaussian state amplification with noisy observations is studied, for which an inner bound and two nontrivial outer bounds to the optimal tradeoff between the transmission rate and the state reconstruction distortion are provided. The coding scheme underlying the inner bound combines analog signaling and Gelfand-Pinsker coding, where the latter deviates from the operating point of Costa´s dirty paper coding. The first outer bound is obtained by extending the channel decomposition technique, while the second outer bound requires a strategic analysis of the covariance matrix of the relevant random variables.
  • Keywords
    Gaussian channels; combined source-channel coding; covariance matrices; Gaussian channel; Gaussian state amplification; Gelfand-Pinsker coding; additive Gaussian channel states; analog signaling; channel decomposition technique; channel state amplification; covariance matrix; dirty paper coding; joint source-channel coding; message transmission; minimum reconstruction distortion; noisy observations; state reconstruction distortion; transmitter power constraint; Distortion; Encoding; Noise measurement; Silicon; Tin; Transmitters; Zinc; Joint source-channel coding; channel with state;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2015.2454519
  • Filename
    7153558