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Design and Optimization of Liquid Crystal RIS-Based Visible Light Communication Receivers

Authors :
Sylvester Aboagye
Alain R. Ndjiongue
Telex M. N. Ngatched
Octavia A. Dobre
Source :
IEEE Photonics Journal, Vol 14, Iss 6, Pp 1-7 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

In the design of reconfigurable intelligent surfaces (RISs)-aided visible light communication (VLC) systems, most studies have focused on the deployment of mirror arrays and metasurfaces on walls to influence signal propagation and enhance communication performance. This paper provides a new research direction in the design and performance optimization of RIS-aided VLC systems whereby voltage-controlled tunable liquid crystals (LCs) are deployed as part of the VLC receiver. The purpose of the LC RIS is to provide incident light steering and intensity amplification in order to improve the received signal strength and the corresponding achievable data rate. More specifically, an LC RIS-based VLC receiver design is proposed and its operating principles and the channel model for a VLC system with such a receiver are provided. Since the refractive index of the LC RIS plays a critical role in the wave-guiding and light amplification capabilities of this novel receiver, a rate maximization problem is considered to achieve the optimal refractive index and the required voltage to obtain the best light amplification and data rate performances. This communication design problem is a non-convex optimization problem for which a metaheuristic approach is developed based on the sine-cosine algorithm. Simulation results are used to confirm the considerable data rate improvement by the proposed LC RIS-based VLC receiver and optimization algorithm when compared to a VLC receiver without the LC RIS and a baseline scheme, respectively.

Details

Language :
English
ISSN :
19430655
Volume :
14
Issue :
6
Database :
Directory of Open Access Journals
Journal :
IEEE Photonics Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.f8f716ccad0a4ea098349c754a78b24c
Document Type :
article
Full Text :
https://doi.org/10.1109/JPHOT.2022.3211730