Vector Gaussian Multiterminal Source Coding

We derive an outer bound of the rate region of the vector Gaussian L -terminal CEO problem by establishing a lower bound on each supporting hyperplane of the rate region. To this end, we prove a new extremal inequality by exploiting the connection between differential entropy and Fisher information...

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Bibliographic Details
Published in:IEEE transactions on information theory Vol. 60; no. 9; pp. 5533 - 5552
Main Authors: Wang, Jia, Chen, Jun
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.09.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0018-9448, 1557-9654
Online Access:Get full text
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Summary:We derive an outer bound of the rate region of the vector Gaussian L -terminal CEO problem by establishing a lower bound on each supporting hyperplane of the rate region. To this end, we prove a new extremal inequality by exploiting the connection between differential entropy and Fisher information as well as some fundamental estimation-theoretic inequalities. It is shown that the outer bound matches the Berger-Tung inner bound in the high-resolution regime. We then derive a lower bound on each supporting hyperplane of the rate region of the direct vector Gaussian L -terminal source coding problem by coupling it with the CEO problem through a limiting argument. The tightness of this lower bound in the high-resolution regime and the weak-dependence regime is also proved.
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ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.2014.2333473