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A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multi...

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Autores principales: Sejan, Mohammad Abrar Shakil, Rahman, Md Habibur, Aziz, Md Abdul, Kim, Dong-Sun, You, Young-Hwan, Song, Hyoung-Kyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861693/
https://www.ncbi.nlm.nih.gov/pubmed/36679539
http://dx.doi.org/10.3390/s23020739
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author Sejan, Mohammad Abrar Shakil
Rahman, Md Habibur
Aziz, Md Abdul
Kim, Dong-Sun
You, Young-Hwan
Song, Hyoung-Kyu
author_facet Sejan, Mohammad Abrar Shakil
Rahman, Md Habibur
Aziz, Md Abdul
Kim, Dong-Sun
You, Young-Hwan
Song, Hyoung-Kyu
author_sort Sejan, Mohammad Abrar Shakil
collection PubMed
description Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wireless communications system capacity and performance. With the advantages of MIMO techniques, VLC can achieve an additional degree of freedom. In this paper, we systematically perform a survey of the existing work based on MIMO VLC. We categorize the types of different MIMO techniques, and a brief description is given. Different problem-solving approaches are given in the subsequent sections. In addition, machine learning approaches are also discussed in sufficient detail. Finally, we identify the future study direction for MIMO-based communication in VLC.
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spelling pubmed-98616932023-01-22 A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends Sejan, Mohammad Abrar Shakil Rahman, Md Habibur Aziz, Md Abdul Kim, Dong-Sun You, Young-Hwan Song, Hyoung-Kyu Sensors (Basel) Review Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wireless communications system capacity and performance. With the advantages of MIMO techniques, VLC can achieve an additional degree of freedom. In this paper, we systematically perform a survey of the existing work based on MIMO VLC. We categorize the types of different MIMO techniques, and a brief description is given. Different problem-solving approaches are given in the subsequent sections. In addition, machine learning approaches are also discussed in sufficient detail. Finally, we identify the future study direction for MIMO-based communication in VLC. MDPI 2023-01-09 /pmc/articles/PMC9861693/ /pubmed/36679539 http://dx.doi.org/10.3390/s23020739 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sejan, Mohammad Abrar Shakil
Rahman, Md Habibur
Aziz, Md Abdul
Kim, Dong-Sun
You, Young-Hwan
Song, Hyoung-Kyu
A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends
title A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends
title_full A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends
title_fullStr A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends
title_full_unstemmed A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends
title_short A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends
title_sort comprehensive survey on mimo visible light communication: current research, machine learning and future trends
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861693/
https://www.ncbi.nlm.nih.gov/pubmed/36679539
http://dx.doi.org/10.3390/s23020739
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