When are discrete channel inputs optimal? - Optimization techniques and some new results

Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai Shitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Discrete channel inputs have been shown to maximize mutual information under various settings. This paper offers a brief review of corresponding optimization methods. Specifically, two techniques are considered; the first is rooted in the theory of linear optimization whereas the second is based on ideas from convex optimization.

Original languageEnglish
Title of host publication2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018
Pages1-6
Number of pages6
ISBN (Electronic)9781538605790
DOIs
StatePublished - 21 May 2018
Event52nd Annual Conference on Information Sciences and Systems, CISS 2018 - Princeton, United States
Duration: 21 Mar 201823 Mar 2018

Publication series

Name2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018

Conference

Conference52nd Annual Conference on Information Sciences and Systems, CISS 2018
Country/TerritoryUnited States
CityPrinceton
Period21/03/1823/03/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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