Applications of Machine Learning in Visible Light Communication

Abstract

Visible light communication (VLC) is predicted to become an indispensable part of 6G network as it has a rich spectrum resource and other desired characteristics in communication such as high security and low electromagnetic interference. However, the direct modulation/demodulation in VLC introduces the non-linearity effect that limits the performance in communication. To tackle this problem, recent researches apply the emerging machine learning technique (ML) and neural network (NN) to enhance the system performance under high non-linearity. This article introduces four applications of machine learning in VLC system, and discusses their effectiveness.