Bøker av Xavier (Toronto Metropolitan University (Canada)) Fernando

The book explores the innovative application of Visible Light Communication (VLC) in enhancing autonomous vehicles and intelligent transportation systems, emphasizing the integration of AI and Machine Learning to improve communication and safety in vehicular networks. It dissects the architecture, performance analysis, and future challenges of VLC technology while highlighting its potential to complement existing communication standards in real-time vehicular scenarios.

A must-read for researchers, graduate students and industry professionals who work in the VLC field, this book investigates the suitability of VLC for vehicular communications from a fundamental wireless communication standpoint. Mathematically accurate channel models are developed, and advanced signal processing approaches to overcome challenges such as sunlight interference, shadowing and fast changing channels are described. Results are verified through simulation with realistic parameters.