AI-Enabled 6G Networks and Applications

This book provides a comprehensive guide to AI techniques for optimizing 6G networks, addressing both theoretical and practical aspects. AI-Enabled 6G Networks and Applications is essential for researchers and students.

The book AI-Enabled 6G Networks and Applications serves as an authoritative guide on the integration of AI techniques within the design and optimization of 6G networks. Authored by active researchers in the field, it provides a comprehensive exploration of both theoretical hypotheses and practical considerations. The focus is on developing evolutionary AI algorithms tailored for 6G networks, emphasizing essential attributes such as network transparency, interpretability, and simulatability. This is particularly relevant for applications in vehicular networks, space systems, and surveillance systems, as well as various emerging engineering domains.

In AI-Enabled 6G Networks and Applications, a thorough review of AI techniques is presented, highlighting their deployment for optimizing network performance. Key topics include AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. The book details the design of hybrid AI algorithms alongside communication protocols, offering practical solutions to challenges faced in vehicular, aerial, and communication networks.

This essential reference guide not only reviews the various AI techniques applicable to 6G networks but also addresses critical issues such as privacy and security in IoT-enabled environments. It discusses the role of machine learning in achieving closed-loop optimization and facilitating intelligent wireless communication. Aimed at graduate students and researchers in network forensics, optimization, computer science, and engineering, AI-Enabled 6G Networks and Applications is a crucial resource for those looking to advance their understanding of hybrid computational intelligence methods in 6G networks.