Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem
Aaron B. Wagner, Saurabha Tavildar, and Pramod Viswanath

TL;DR
This paper characterizes the rate region for the quadratic Gaussian two-encoder source-coding problem, revealing a simple separation architecture and its rate implications compared to other sources, with applications to related problems.
Contribution
It provides a complete characterization of the rate region for the quadratic Gaussian two-encoder problem and introduces a simple separation-based coding architecture.
Findings
The rate region is achieved by a separation architecture combining analog and digital coding.
Gaussian sources require higher rates than other sources with the same covariance.
The techniques extend to the sum rate of related source-coding problems.
Abstract
We determine the rate region of the quadratic Gaussian two-encoder source-coding problem. This rate region is achieved by a simple architecture that separates the analog and digital aspects of the compression. Furthermore, this architecture requires higher rates to send a Gaussian source than it does to send any other source with the same covariance. Our techniques can also be used to determine the sum rate of some generalizations of this classical problem. Our approach involves coupling the problem to a quadratic Gaussian ``CEO problem.''
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Taxonomy
TopicsWireless Communication Security Techniques · Cellular Automata and Applications · DNA and Biological Computing
