This edited volume consolidates the fragmented information on the application of machine learning and artificial intelligence to optical and wireless systems and presents it in a cohesive and organized manner to enable professionals and researchers to access and comprehend the latest advances.

Readers will gain an understanding of the rapid technological evolution that has occurred in the field with the emergence of 5G, IoT devices, and increasing demand for high-speed, reliable, and secure communication systems. The book addresses the intersection of multiple disciplines including electrical and computer engineering, telecommunications, and computer science to present a holistic overview of optical and wireless communications. Topics discussed include optical fiber communication systems, wireless communication networks, signal processing, and the application of machine learning algorithms to optimize and enhance communication systems. The chapter contributors explore the practical applications of machine learning and artificial intelligence in optical and wireless communication systems and provide real-world examples and insights into how these technologies can impact industries such as telecommunications, healthcare, and transportation. Readers will be able to apply these practical insights and applications to update their knowledge of the rapidly evolving technologies in optical and wireless communications, machine learning, and artificial intelligence in their work. They will be able to anticipate and capitalize on the implications of these technologies, making informed decisions and staying ahead of the curve.

The book's focus on the potential impact of practical applications of machine learning and artificial intelligence in optical and wireless communication systems on various industries makes it a unique and vital resource that benefits professionals and researchers in the fields of electrical and computer engineering, telecommunications, and computer science.