A view of information-estimation relations in Gaussian networks

Alex Dytso, Ronit Bustin, H. Vincent Poor, Shlomo Shamai

Research output: Contribution to journalReview article

7 Scopus citations

Abstract

Relations between estimation and information measures have received considerable attention from the information theory community. One of the most notable such relationships is the I-MMSE identity of Guo, Shamai and Verdú that connects the mutual information and the minimum mean square error (MMSE). This paper reviews several applications of the I-MMSE relationship to information theoretic problems arising in connection with multi-user channel coding. The goal of this paper is to review the different techniques used on such problems, as well as to emphasize the added-value obtained from the information-estimation point of view.

Original languageEnglish (US)
Article number409
JournalEntropy
Volume19
Issue number8
DOIs
StatePublished - Aug 1 2017

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Keywords

  • Estimation theory
  • I-MMSE
  • Network information theory

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