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

Mohammad Abrar Shakil Sejan^1,2, Md Habibur Rahman^1,2, Md Abdul Aziz^1,2

¹Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea.

Sensors (Basel, Switzerland)

|January 21, 2023

Summary

This summary is machine-generated.

This survey explores Multiple-Input Multiple-Output (MIMO) in Visible Light Communication (VLC), highlighting its potential to boost wireless connectivity. It categorizes MIMO techniques and discusses machine learning applications for future VLC advancements.

Keywords:

MIMO VLC machine learning optical communication wireless communication

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Area of Science:

Electrical Engineering
Computer Science
Optical Communications

Background:

Visible Light Communication (VLC) offers new spectrum for wireless communication, complementing radio frequencies.
VLC enhances wireless connectivity in both indoor and outdoor settings.
Multiple-Input Multiple-Output (MIMO) is a proven technique for improving wireless communication capacity and performance.

Purpose of the Study:

To systematically survey existing research on MIMO-based VLC systems.
To categorize different MIMO techniques applicable to VLC.
To explore machine learning approaches within MIMO-VLC.

Main Methods:

Literature review and systematic categorization of MIMO techniques in VLC.
Analysis of problem-solving approaches in existing MIMO-VLC studies.
Detailed discussion of machine learning applications for MIMO-VLC.

Main Results:

Identified and categorized various MIMO techniques for VLC applications.
Presented different problem-solving strategies employed in MIMO-VLC research.
Provided a comprehensive overview of machine learning's role in enhancing MIMO-VLC.

Conclusions:

MIMO techniques offer significant advantages for VLC, providing an additional degree of freedom.
Machine learning presents promising avenues for future development in MIMO-VLC systems.
Identified future research directions for advancing MIMO-based communication in VLC.