Artificial Intelligence-Based 6G Networking

This book deals with the emerging 6G networking and services, which are expected to be implemented in 2030. With 6G, there will be a deep convergence of computing and communication with AI. This book provides a unified framework for the convergence of computing and communications that can be optimized as a single integrated system using AI.

Radhika Ranjan Roy is an Electronics Engineer (Research), United States, Engineering & Systems Integration Directorate, Command Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) Center, Aberdeen Proving Ground (APG), Maryland, since 2009. Before joining to US Army Research, he worked in various capacities in CACI, SAIC, AT&T/Bell Laboratories, CSC, and PDB since his graduation. He holds a PhD in electrical engineering with major in computer communications from the City University of New York, New York, in 1984, and MS in electrical engineering from the Northeastern University, Boston, Massachusetts, in 1978. He received his BS in electrical engineering from the Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 1967. He has published more than 50 technical papers. He is holding and/or has submitted over 35 patents. In addition, Dr. Roy has authored five books: Networked Artificial IntelligenceAI-enabled 5G Networking, CRC Press, 2024, Handbook on Networked Multipoint Multimedia Conferencing and Multistream Immersive Telepresence using SIP, CRC Press, 2021, Handbook of SDP for Multimedia Session Negotiations: SIP and WebRTC IP Telephony, CRC Press, 2018, Handbook on Session Initiation Protocol: Networked Multimedia Communications for IP Telephony, CRC Press, 2016, and Handbook of Mobile Ad Hoc Networks for Mobility Models, Springer Nature Customer Service Center LLC., October 2010.

1. Overview 2. MIMO 3. Massive MIMO 4. Ultra-Massive MIMO 5. Vehicle-to-Everything Ultra-Massive MIMO Communications 7. Cell-Free Communications 8. Non-Terrestrial Communications 9. Massive MIMO Radar 10. Massive MIMO Radar for Target Detection 11. Massive MIMO Radar Scaling 12. Ultra-Massive MIMO Radar Sensors and Multi-User Communications 13. Device-to-Device Communications with Mesh Networking 14. Vehicle-to-Vehicle and Vehicle-to-Everything Communications 15. V2V Communications Network 16. Peer-to-Peer V2V Communication 17. V2V Massive MIMO Channels 18. V2X Communications Network 19. V2X Millimeter Wave MIMO Radar Communications 20. Robotics and Autonomous System Communications 21. Virtual, Augmented, Mixed Reality and Extended Reality 22. Unmanned Aerial Vehicles Communication Systems 23. Unmanned Robot Network with Swarm Capabilities 24. Digital Twins 25. Quantum Communications 26. 6G Cybersecurity