AI in Next Generation Networks (5G and Beyond): Fundamentals, Security and Applications
Files
Download AINextGSecurity_Public_Partial_with_References.pdf (6.8 MB)
Description
AI in Next Generation Networks (5G and Beyond): Fundamentals, Security and Applications explores how AI and ML technologies are revolutionizing 5G and future communication systems. As networks become more complex and data-driven, AI is being integrated across all layers to improve speed, efficiency, and adaptability. However, this integration introduces new security concerns, especially adversarial attacks that can compromise model integrity.
This book provides a practical and theoretical foundation for building secure, AI-powered NextG networks. It begins with key technologies like massive MIMO, beamforming, and channel estimation, and moves into a detailed discussion of adversarial machine learning attacks, such as FGSM, BIM, PGD, and MIM, along with defense strategies like adversarial training and defensive distillation.
Chapters focus on AI vulnerabilities and mitigation techniques in applications like channel estimation, IRS, spectrum sensing, and automatic modulation recognition. Each topic includes Python-based implementations and experimental results.
Written for researchers, engineers, and students, this book bridges the gap between academic theory and practical application. It offers guidance for developing trustworthy AI systems in modern telecommunications, helping shape the future of secure, AI-native 5G and beyond. [Amazon.com]
ISBN
9798289987839
Publication Date
8-2025
Publisher
Independently Published
Disciplines
Artificial Intelligence and Robotics | Digital Communications and Networking | Systems and Communications
Recommended Citation
Kuzlu, Murat; Catak, Ferhat Ozgur; Zhao, Yanxiao; and Ozdemir, Gokcen, "AI in Next Generation Networks (5G and Beyond): Fundamentals, Security and Applications" (2025). Engineering Technology Faculty Books. 6.
https://digitalcommons.odu.edu/engtech_books/6