Sending a Bivariate Gaussian Source over a Gaussian MAC with Feedback
Amos Lapidoth, Stephan Tinguely

TL;DR
This paper investigates the optimal power-distortion trade-off for transmitting a bivariate Gaussian source over a Gaussian multiple-access channel with feedback, identifying when feedback improves performance and characterizing high-SNR behavior.
Contribution
It provides necessary and sufficient conditions for achieving distortion pairs, revealing when feedback is beneficial and deriving high-SNR asymptotics for optimal schemes.
Findings
Feedback is useless below a certain SNR threshold.
Necessary and sufficient conditions for distortion pair achievability.
High-SNR asymptotic behavior of optimal transmission schemes.
Abstract
We study the power-versus-distortion trade-off for the transmission of a memoryless bivariate Gaussian source over a two-to-one Gaussian multiple-access channel with perfect causal feedback. In this problem, each of two separate transmitters observes a different component of a memoryless bivariate Gaussian source as well as the feedback from the channel output of the previous time-instants. Based on the observed source sequence and the feedback, each transmitter then describes its source component to the common receiver via an average-power constrained Gaussian multiple-access channel. From the resulting channel output, the receiver wishes to reconstruct both source components with the least possible expected squared-error distortion. We study the set of distortion pairs that can be achieved by the receiver on the two source components. We present sufficient conditions and necessary…
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