Artificial Intelligence-Based 6G Networking 1st Edition


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Description


The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence
The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.

Artificial Intelligence-Based 6G Networking focuses exclusively on the upcoming sixth-generation (6G) network and services slated for implementation by 2030. It explores the paradigm shift that is 6G. It discusses the deep integration of computing and communication, supported by artificial intelligence (AI) across network elements like cloud, edge, and terminals. It also examines how AI-native interfaces will permeate various network components, from radio access networks to application servers and databases.

Proposing a unified AI-enabled framework for optimizing networks and applications as a single integrated system, the book covers how network service providers can tailor network baselines, reduce noise, and accurately identify issues. The book delves into the potential of AI-driven networks to self-correct, predict, and rectify service degradations proactively, enhancing uptime and troubleshooting efficiency. It outlines the “Connection, Communication, Collaboration, Curation, and Community” framework to enhance network effects, aiding operators in automation, cost reduction, and providing optimal user experiences.

Covering topics from MIMO and Massive MIMO to holographic communications, cybersecurity and quantum communications, the book explores cutting-edge technologies shaping the future of 6G networks. It anticipates a future where AI, along with machine learning and deep learning, enables continuous learning, self-optimization, and predictive maintenance, even with full automation, that will be the hallmark of a new era in network connectivity and innovation.

 

Table of Contents

1. Overview
2. MIMO
3. High-Level Capacity Estimation for Massive MIMO with Single Antenna-Based Multi-User
4. Ultra-Massive MIMO: Ultra-Massive MIMO Platforms
5. Vehicle-to-Everything Ultra-Massive MIMO Communications

6. Reconfigurable Intelligent Surface
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 Multiuser 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

Author(s)

Biography

 

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.




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