This book, Role of Artificial Intelligence in 7G Wireless Communication, is a forward-looking exploration into how AI and Machine Learning (ML) technologies will redefine mobile and wireless networks in the 7G era. Unlike previous generations that primarily focused on hardware and bandwidth enhancements, 7G is expected to be intelligent by design-autonomous, adaptive, predictive, and capable of self-optimization at unprecedented levels. AI will no longer be a peripheral tool; it will be embedded into the core infrastructure of communication networks, driving performance, efficiency, and new applications beyond imagination.
Organized into twelve comprehensive chapters, this book provides a structured journey through the key domains shaping 7G wireless communications:

• Chapter 1 introduces the foundational role of AI in 7G systems, laying the groundwork for deeper exploration.
• Chapter 2 examines how AI integrates with wireless networks, from intelligent routing to dynamic spectrum management.
• Chapter 3 outlines the conceptual vision of 7G, including cross-layer intelligence and integration of terrestrial, aerial, and space-based networks.
• Chapter 4 focuses on the next phase of mobile connectivity, exploring what truly differentiates 7G from its predecessors.
• Chapter 5 offers a historical perspective, tracing the development of mobile communication and setting the stage for 7G.
• Chapter 6 discusses the inevitability of intelligent communication and how AI accelerates this paradigm shift.
• Chapter 7 dives into the technical and architectural innovations driving seventh-generation cellular technology.
• Chapter 8 showcases emerging innovations in 7G networks, including edge intelligence, swarm networking, and more.
• Chapter 9 explores high-speed internet access and the role of intelligent connectivity in enabling ultra-fast, low-latency communication.
• Chapter 10 highlights Terahertz (THz) communication, a key enabler for ultra-high data rates and 7G performance goals.
• Chapter 11 explores Generative AI's transformative role in network design, traffic modeling, anomaly detection, and beyond.
• Chapter 12 addresses real-world challenges in AI/ML-based network design and offers insight into practical solutions for scalability, security, and sustainability.