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

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.