Optical and Wireless Communications: Applications of Machine Learning Artificial Intelligence

This edited volume presents the application of machine learning and artificial intelligence to optical and wireless systems in a cohesive manner to enable readers to access and comprehend the latest advances. A vital resource for professionals and researchers in the fields of electrical and computer engineering, and computer science. This edited volume brings together diverse perspectives on machine learning and AI applications in optical and wireless systems, offering a structured and comprehensive resource for researchers and professionals. It explores advancements driven by 5G, IoT, and the increasing demand for high-speed, reliable communication. Covering optical fiber systems, wireless networks, and AI-driven optimizations, the book provides insights into real-world applications impacting telecommunications, healthcare, and transportation. The contributing authors discuss key topics such as signal processing techniques, optimization algorithms, and deep learning models applied to optical and wireless networks. The volume also highlights emerging challenges, security concerns, and future trends in AI-powered communication systems. This resource is essential for professionals in electrical and computer engineering, telecommunications, and computer science, helping them stay ahead in these rapidly evolving technologies.