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 contribution

14 Scopus citations

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 (US)
Title of host publication2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538605790
DOIs
StatePublished - May 21 2018
Event52nd Annual Conference on Information Sciences and Systems, CISS 2018 - Princeton, United States
Duration: Mar 21 2018Mar 23 2018

Publication series

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

Other

Other52nd Annual Conference on Information Sciences and Systems, CISS 2018
CountryUnited States
CityPrinceton
Period3/21/183/23/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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    Dytso, A., Goldenbaum, M., Poor, H. V., & Shitz, S. S. (2018). When are discrete channel inputs optimal? - Optimization techniques and some new results. In 2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018 (pp. 1-6). (2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2018.8362306