VLC systems using NOMA techniques: An overview

Abstract

Visible Light Communication (VLC) systems utilizing Non-Orthogonal Multiple Access (NOMA) techniques have emerged as a promising approach to enhance the spectral efficiency and capacity of wireless communication. In this paper, we describe the methodologies for multiple access. We provide a comprehensive overview of client matching and similarly powered distribution strategies for VLC systems based on NOMA. An overview of VLC systems incorporating NOMA techniques, highlighting their key concepts, advantages, and challenges. We discuss the use cases and applications of VLC-NOMA systems, including indoor communication, intelligent transportation systems, underwater communication, Li-Fi for public spaces, location-based services, and secure communication. Furthermore, we explore the role of machine learning and reinforcement learning algorithms in improving the performance of VLC-NOMA systems. These algorithms facilitate system optimization, resource allocation, and intelligent decision-making. We also discuss the challenges and open research directions in VLC-NOMA systems, such as interference management, mobility support, and synchronization. Overall, this paper provides valuable insights into the potential of VLC systems using NOMA techniques and paves the way for future advancements and deployments in this rapidly evolving field.