The exponential growth of data-intensive applications such as cloud computing, Internet of Things (IoT), augmented reality, virtual reality, autonomous systems, and smart city infrastructures has created a pressing demand for communication systems capable of supporting ultra-high data rates and reliable connectivity. Traditional radio frequency (RF)-based communication systems face challenges including spectrum scarcity, electromagnetic interference, and limited bandwidth availability. Optical Wireless Communication (OWC) systems have emerged as a promising alternative that utilizes visible light, infrared, and ultraviolet spectra to provide high-speed wireless communication with enhanced security and energy efficiency. Technologies such as Visible Light Communication (VLC), Light Fidelity (Li-Fi), Free Space Optical (FSO) communication, and Optical Camera Communication (OCC) represent significant advancements in optical networking. This paper presents a comprehensive study of Optical Wireless Communication Systems and proposes an Artificial Intelligence-Enabled Optical Communication Framework (AI-OCF) designed to optimize optical communication performance. The proposed framework integrates machine learning-based channel prediction, adaptive modulation techniques, intelligent resource allocation, and real-time link management. Simulation analysis demonstrates significant improvements in throughput, communication reliability, energy efficiency, and latency reduction compared with conventional wireless communication systems. The findings indicate that optical wireless communication will become a critical enabling technology for future 6G communication networks and intelligent digital ecosystems.

Keywords— Optical Wireless Communication, Visible Light Communication, Li-Fi, Free Space Optical Communication, Artificial Intelligence, 6G Networks, Optical Networking, High-Speed Communication.