Title
A New Sufficient Condition for Sum-Rate Tightness in Quadratic Gaussian Multiterminal Source Coding
Abstract
This paper considers the quadratic Gaussian multiterminal (MT) source coding problem and provides a new sufficient condition for the Berger–Tung (BT) sum-rate bound to be tight. The converse proof utilizes a set of virtual remote sources given which the observed sources are block independent with a maximum block size of 2. The given MT source coding problem is then related to a set of two-terminal problems with matrix-distortion constraints, for which a new lower bound on the sum-rate is given. By formulating a convex optimization problem over all distortion matrices, a sufficient condition is derived for the optimal BT scheme to satisfy the subgradient-based Karush–Kuhn–Tucker condition. The subset of the quadratic Gaussian MT problem satisfying our new sufficient condition subsumes all previously known tight cases, and our proof technique opens a new direction for more general partial solutions.
Year
DOI
Venue
2010
10.1109/TIT.2012.2216995
IEEE Transactions on Information Theory
Keywords
Field
DocType
source code,convex optimization,lower bound,information theory,satisfiability,karush kuhn tucker
Block size,Discrete mathematics,Combinatorics,Subgradient method,Upper and lower bounds,Matrix (mathematics),Quadratic equation,Gaussian,Covariance matrix,Convex optimization,Mathematics
Journal
Volume
Issue
ISSN
59
1
0018-9448
ISBN
Citations 
PageRank 
978-1-4244-7014-3
3
0.56
References 
Authors
8
3
Name
Order
Citations
PageRank
Yang Yang1275.71
Yifu Zhang217015.01
Zixiang Xiong33444275.03