Dr. Songyang Zhang received the Ph.D. degree from the Department of Electrical and Computer Engineering at the University of California, Davis, CA, USA. He is currently an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Louisiana at Lafayette, Lafayette, LA, USA.Dr. Shuai Zhang received his Ph.D. degree from the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI) in 2021. He is currently an Assistant Professor in the Ying Wu College of Computing at the New Jersey Institute of Technology (NJIT), NJ, USA.Prof. Chuan Huang received his Ph.D. degree from the Department of Electrical and Computer Engineering at Texas A&M University, College Station, TX, USA, in 2012. He is currently a Professor in Shenzhen Institute for Advanced Study at University of Electronic Science and Technology of China, Shenzhen, China.

• Part I - Introduction1. Wireless Communications in the Era of Artificial Intelligence2. Overview of Generative AI models and Potentials in Wireless CommunicationsPart II – Foundations of Generative Learning Models3. Fundamentals of Generative Adversarial Nets4. Fundamentals of Variational Auto Encoder5. Introduction of Advanced Generative AI Models: Diffusion and TransformersPart III – Generative AI for Physical Networking and Communication Theory6. Generative AI for Channel Modeling and Estimation7. Generative AI for Integrated Sensing and Communications8. Generative AI for Spectrum Sensing and Coverage EstimationPart IV – Generative AI for Data Transmission and Communication Architecture9. Generative AI for Joint Source and Channel Coding10. Generative AI for Data-Oriented Communications11. Generative AI for Semantic and Task-Oriented CommunicationsPart V – Generative AI for Distributed Networking and Edge Computing12. Generative AI Empowered Federated Learning113. Generative AI for Mobile Edge ComputingPart VI – Generative AI for Emerging Technologies and Applications14. Generative AI and Digital Twin15. AI-Generated Content Service16. Trustworthy Generative AI for Wireless Communications17. Data Management for Generative AI in Wireless CommunicationsPart VII – Conclusion18. Summary, Insights and Future Directions

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