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Capacity and Optimum Signal Constellations for VLC Systems

Jia, Linqiong, Shu, Feng, Huang, Nuo, Chen, Ming, Wang, Jiangzhou (2020) Capacity and Optimum Signal Constellations for VLC Systems. Journal of Lightwave Technology, . ISSN 0733-8724. (doi:10.1109/JLT.2020.2971273) (KAR id:80623)

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https://doi.org/10.1109/JLT.2020.2971273

Abstract

In this paper, the capacity of the point-to-point VLC system is investigated by means of functional analysis subject to amplitude constraint and average intensity constraint. It is proved that the capacity can be achieved by a unique probability density function (PDF). The necessary and sufficient condition for the capacity-achieving PDF is derived by the functional optimization theorem. Moreover, the capacity-achieving PDF is proved to be discrete and finite. Based on these properties, the capacity-achieving constellation optimization problems under amplitude constraint and average intensity constraint is formulated and an algorithm is proposed to solve the corresponding problem. To apply simple adaptive modulation in practical VLC systems, constellation optimization problem subject to an additional equal probability constraint is formulated and solved by maximizing the mutual information as well.

Item Type: Article
DOI/Identification number: 10.1109/JLT.2020.2971273
Uncontrolled keywords: Visible light communication, capacity-achieving PDF, constellation optimization, amplitude constraint, average intensity constraint
Subjects: Q Science
T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Jiangzhou Wang
Date Deposited: 26 Mar 2020 13:50 UTC
Last Modified: 26 Mar 2020 13:50 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/80623 (The current URI for this page, for reference purposes)
Wang, Jiangzhou: https://orcid.org/0000-0003-0881-3594
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