Broadcasting Correlated Vector Gaussians
Lin Song, Jun Chen, Chao Tian

TL;DR
This paper investigates the optimal transmission strategies for sending correlated Gaussian sources over a Gaussian broadcast channel, deriving bounds on power-distortion tradeoffs and proposing hybrid schemes for certain cases.
Contribution
It introduces a new bounding technique involving remote sources and characterizes the power-distortion tradeoff, including achievable schemes for scalar source reconstruction.
Findings
Derived a lower bound on power-distortion tradeoff
Introduced a new bounding technique with remote sources
Proposed hybrid schemes for scalar source reconstruction
Abstract
The problem of sending two correlated vector Gaussian sources over a bandwidth-matched two-user scalar Gaussian broadcast channel is studied in this work, where each receiver wishes to reconstruct its target source under a covariance distortion constraint. We derive a lower bound on the optimal tradeoff between the transmit power and the achievable reconstruction distortion pair. Our derivation is based on a new bounding technique which involves the introduction of appropriate remote sources. Furthermore, it is shown that this lower bound is achievable by a class of hybrid schemes for the special case where the weak receiver wishes to reconstruct a scalar source under the mean squared error distortion constraint.
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Taxonomy
TopicsWireless Communication Security Techniques · Sparse and Compressive Sensing Techniques · Distributed Sensor Networks and Detection Algorithms
