An I-MMSE based graphical representation of rate and equivocation for the Gaussian broadcast channel

Ronit Bustin, Rafael F. Schaefer, H. Vincent Poor, Shlomo Shamai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this work a graphical representation of rate and equivocation for the scalar Gaussian broadcast channel is provided. This representation builds on the fundamental relationship between information theory and estimation theory, the so-called I-MMSE relationship, and the natural properties of the minimum mean-square error (MMSE) function. The approach is then applied to the recent problem of secrecy outside a bounded range to provide both a graphical representation of the problem as well as additional insights into the increase in the completely secure rate.

Original languageEnglish (US)
Title of host publication2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages53-58
Number of pages6
ISBN (Electronic)9781467378765
DOIs
StatePublished - Dec 3 2015
Event3rd IEEE International Conference on Communications and Network Security, CNS 2015 - Florence, Italy
Duration: Sep 28 2015Sep 30 2015

Publication series

Name2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015

Other

Other3rd IEEE International Conference on Communications and Network Security, CNS 2015
CountryItaly
CityFlorence
Period9/28/159/30/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Bustin, R., Schaefer, R. F., Poor, H. V., & Shamai, S. (2015). An I-MMSE based graphical representation of rate and equivocation for the Gaussian broadcast channel. In 2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015 (pp. 53-58). [7346810] (2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CNS.2015.7346810