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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-9861693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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