Investigating the Role of Channel State Information for MIMO based Visible Light Communication System

The bandwidth-hungry applications have urged the research community not only to optimize the communication entities and subsystem(s) but also to explore new spectrum(s) which can help to alleviate the spectrum crunch as well energy consumption challenge. Multiple Input Multiple Output (MIMO) has proved to be a useful method to enhance the capacity of radio link systems in 4G and beyond networks. Similarly, Visible Light Communication (VLC) is considered to be an environmental-friendly complementing technology for 6G networks. In this work, we have investigated the suitability of flexible transmitters and receivers for MIMO-based Visible Light Communication System for next-generation-networks. We created a channel state information (CSI) matrix based on random, Exponential, Rayleigh, and Gaussian distribution. Our results show that the randomly generated CSI matrix without diagonal maximization yields the worst performance whereas if the CSI matrix follows Gaussian distribution, VLC based MIMO system executes the best performance in terms of bit error rate (BER) against signal to noise ratio (SNR). Based on our results, we introduced the concept of flexible transmitters and receivers which can orient themselves at the physical layer based on the feedback received from the channel. We further extend our investigations by considering a square network of MIMO transmitters and receivers. Simulation results show that as the number of transmitters increases, BER performance deteriorates for independent data streams.