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Full Description
This book explores the transformative impact of Artificial Intelligence on the future of wireless networks with its emerging use cases. The authors cover topics from AI-powered signal processing and autonomous network management to intelligent resource allocation, 5G/6G integration, and security, and provide a comprehensive roadmap for researchers, engineers, and technologists. Through a structured and forward-looking approach, this book highlights how AI is redefining wireless communication to be more adaptive, efficient, and intelligent for smarter IoT systems, autonomous vehicles, and resilient digital infrastructures. Structured into six thematically coherent sections, the book covers foundational AI concepts for wireless systems, intelligent architectural design, applications in next-generation technologies, optimization strategies, privacy and ethical concerns, as well as emerging use cases including IoT, vehicular networks, and digital twins. Each chapter is thoughtfully curated to provide both foundational knowledge and insight into current research and real-world implementations, ensuring relevance for academics, practitioners, and industry stakeholders alike.
Describes how AI, 5G/6G, IoT, and non-terrestrial networks are transforming wireless communication systems;
Covers critical issues like security, privacy preservation, and ethical AI deployment;
Provides practical insights through real applications and case studies.
Contents
Artificial intelligence and machine learning foundations for wireless systems.- Edge fog and cloud intelligence in wireless architectures.- Ai driven resource management and scheduling in wireless networks.- Software defined and virtualized wireless networks with ai integration.- Ai enabled phy and mac layer innovations.- Artificial intelligence in 5g 6g and beyond.- Ai applications in mmwave terahertz and intelligent reflecting surfaces.- Massive mimo and beamforming optimization using ai.- Self organizing and autonomous wireless networks.- Predictive network analytics with ai traffic qos and qoe.- Ai for wireless network security threat detection and mitigation.- Privacy preserving and explainable ai in wireless networks.- Ai for iot industrial automation and smart infrastructure.- Ai driven vehicular networks and non terrestrial communication systems.- Digital twins challenges and future research directions.
