On the generalized gaussian CEO problem

Yang Yang, Zixiang Xiong

Research output: Contribution to journalArticleResearchpeer-review

18 Citations (Scopus)


This paper considers a distributed source coding (DSC) problem where L encoders observe noisy linear combinations of K correlated remote Gaussian sources, and separately transmit the compressed observations to the decoder to reconstruct the remote sources subject to a sum-distortion constraint. This DSC problem is referred to as the generalized Gaussian CEO problem since it can be viewed as a generalization of the quadratic Gaussian CEO problem where the number of remote source K=1. First, we provide a new outer region obtained using the entropy power inequality and an equivalent argument (in the sense of having the same rate-distortion region and Berger-Tung inner region) among a certain class of generalized Gaussian CEO problems. We then give two sufficient conditions for our new outer region to match the inner region achieved by Berger-Tung schemes, where the second matching condition implies that in the low-distortion regime, the Berger-Tung inner rate region is always tight, while in the high-distortion regime, the same region is tight if a certain condition holds. The sum-rate part of the outer region is also studied and shown to meet the Berger-Tung sum-rate upper bound under a certain condition, which is obtained using the Karush-Kuhn-Tucker conditions of the underlying convex semidefinite optimization problem, and is in general weaker than the aforesaid two for rate region tightness.
Original languageEnglish
Article number6142097
Pages (from-to)3350-3372
Number of pages23
JournalIEEE Transactions on Information Theory
Issue number6
Publication statusPublished - 31 Jan 2012
Externally publishedYes


  • Distributed source coding (DSC)
  • Gaussian CEO problem
  • Multiterminal source coding
  • Rate region
  • Remote sources
  • Sum rate

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