Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

This book provides the latest advances and results in Machine Learning and Deep Learning for Wireless Communication, discussing challenges and prospects. It offers an overview of intelligent Wireless Communication systems and their technologies, algorithms, and applications, serving as a reference for industry problems.

Format: Hardback
Length: 274 pages
Publication date: 14 September 2021
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the cutting-edge advancements and groundbreaking results in the domains of Machine Learning and Deep Learning for Wireless Communication, presenting a balanced and insightful examination of the challenges and prospects. It serves as a valuable resource for gaining a comprehensive understanding of the remarkable improvements in Machine Learning and Deep Learning driven by the unique constraints posed by wireless networking systems.

The book offers a comprehensive exploration of intelligent Wireless Communication systems and their underlying technologies, research challenges, innovative solutions, and captivating case studies. It provides a wealth of information on intelligent wireless communication systems, their models, algorithms, and applications, empowering readers with the latest technologies and research findings to address diverse industry problems.

Written as a comprehensive reference, this book serves as a valuable tool for professionals, researchers, and students seeking to stay abreast of the latest advancements in Machine Learning and Deep Learning for Wireless Communication. It serves as a gateway to unlocking the potential of these technologies and their applications in the ever-evolving field of wireless communication.

Weight: 578g
Dimension: 162 x 280 x 23 (mm)
ISBN-13: 9780367620066