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

Mohammad Abrar Shakil Sejan, Md Habibur Rahman, Md Abdul Aziz, Dong-Sun Kim, Young-Hwan You, Hyoung-Kyu Song
Author Information
  1. Mohammad Abrar Shakil Sejan: Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea. ORCID
  2. Md Habibur Rahman: Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea. ORCID
  3. Md Abdul Aziz: Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea.
  4. Dong-Sun Kim: Department of Electrical Engineering, Sejong University, Seoul 05006, Republic of Korea.
  5. Young-Hwan You: Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea.
  6. Hyoung-Kyu Song: Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea. ORCID

Abstract

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.

Keywords

References

  1. Sensors (Basel). 2020 Jul 05;20(13): [PMID: 32635604]
  2. Sensors (Basel). 2022 Aug 10;22(16): [PMID: 36015732]
  3. Opt Express. 2018 Aug 6;26(16):19762-19772 [PMID: 30119297]
  4. Sensors (Basel). 2020 May 12;20(10): [PMID: 32408531]
  5. Sensors (Basel). 2022 Jul 20;22(14): [PMID: 35891085]
  6. Opt Express. 2022 Mar 28;30(7):11588-11603 [PMID: 35473100]
  7. Opt Express. 2019 May 13;27(10):15062-15078 [PMID: 31163944]
  8. Sensors (Basel). 2021 Jul 20;21(14): [PMID: 34300661]
  9. Opt Express. 2020 Sep 14;28(19):28017-28032 [PMID: 32988082]
  10. Opt Express. 2021 Jul 19;29(15):23341-23356 [PMID: 34614601]
  11. Opt Express. 2021 Sep 27;29(20):32728-32738 [PMID: 34615337]
  12. Opt Express. 2020 Jun 22;28(13):19531-19549 [PMID: 32672228]
  13. Sensors (Basel). 2019 Mar 07;19(5): [PMID: 30866473]
  14. Opt Express. 2019 Apr 29;27(9):12806-12816 [PMID: 31052816]
  15. Sensors (Basel). 2022 Sep 15;22(18): [PMID: 36146342]
  16. Sensors (Basel). 2020 Apr 16;20(8): [PMID: 32316205]
  17. Appl Opt. 2022 Feb 1;61(4):858-867 [PMID: 35201053]
  18. Sensors (Basel). 2016 May 12;16(5): [PMID: 27187395]
  19. Opt Express. 2018 Oct 1;26(20):26700-26712 [PMID: 30469751]

Grants

  1. IITP-2022-2021-0-01816/ICT R&D Program of MSIT/IITP
  2. 2020R1A6A1A03038540/National Research Foundation of Korea

MeSH Term

Acclimatization
Information Technology
Light
Machine Learning

Word Cloud

Created with Highcharts 10.0.0communicationVLCMIMOwirelessVisibleadditioncantechniquesgivenapproachesmachinelearninglightcontributednewunusedspectrumtraditionalradiofrequencyplaysignificantroleadaptationtechnologyenhancesconnectivityindooroutdoorenvironmentsMultiple-inputmultiple-outputefficienttechniqueincreasingcommunicationssystemcapacityperformanceadvantagesachieveadditionaldegreefreedompapersystematicallyperformsurveyexistingworkbasedcategorizetypesdifferentbriefdescriptionDifferentproblem-solvingsubsequentsectionsalsodiscussedsufficientdetailFinallyidentifyfuturestudydirectionMIMO-basedComprehensiveSurveyLightCommunication:CurrentResearchMachineLearningFutureTrendsoptical

Similar Articles

Cited By