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
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