Sum-Capacity-Achieving Distributions in the Input-Dependent Gaussian Noise Optical Multiple Access Channel with Peak and Average Intensity Constraints

Morteza Soltani, Zouheir Rezki, Anas Chaaban

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

2 Scopus citations

Abstract

This paper introduces a two-user discrete-time input-dependent Gaussian noise optical multiple access channel (OMAC) which is applicable to a number of optical wireless links, most notably space optical communications as well as visible light communications. Under nonnegativity and peak intensity constraints, it is shown that generating the code-books of both users according to discrete distributions with finite supports achieves the largest sum-rate in the network. In other words, sum-capacity-achieving distributions for this channel are discrete with a finite number of mass points.
Original languageEnglish (US)
Title of host publication2019 16th Canadian Workshop on Information Theory (CWIT)
PublisherIEEE
ISBN (Print)9781728109541
DOIs
StatePublished - Dec 12 2019
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-30
Acknowledged KAUST grant number(s): OSR-2016-CRG5-2958-01
Acknowledgements: This work has been supported by King Abdullah University of Science and Technology (KAUST), under a competitive research grant (CRG) OSR-2016-CRG5-2958-01.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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