This handbook bridges the gap between theory and practical applications, providing foundational knowledge and actionable insights into the use of AI in future wireless networks. The book is a comprehensive guide to developing, deploying, and managing intelligent wireless systems, contributing to the global push toward a connected world.

Handbook of AI in Wireless Networks: Foundations, Techniques, and Emerging Applications explores the intersection of artificial intelligence (AI) and wireless communication systems, providing a comprehensive guide to how AI transforms the design, management, and optimisation of wireless networks. Additionally, the book discusses emerging trends in AI-aided wireless communication systems, including integrated sensing and communications, intelligent spectrum management, traffic scheduling for optimal resource allocation, energy efficiency, security and privacy, and ethical considerations. The book offers innovative approaches to solving real-world wireless network challenges related to spectrum management, network optimisation, traffic management, security, and privacy, leveraging cutting-edge AI algorithms.

The book is written for a diverse audience, including researchers, academics, industry professionals, and policymakers in wireless communications, artificial intelligence, and network systems. It is particularly relevant to engineers and practitioners involved in designing, developing, and deploying next-generation wireless networks, as well as to graduate and postgraduate students specializing in AI, telecommunications, and computer networks.

This handbook bridges the gap between theory and practical applications, providing foundational knowledge and actionable insights into the use of AI in future wireless networks. The book is a comprehensive guide to developing, deploying, and managing intelligent wireless systems, contributing to the global push toward a connected world.

Handbook of AI in Wireless Networks: Foundations, Techniques, and Emerging Applications explores the intersection of artificial intelligence (AI) and wireless communication systems, providing a comprehensive guide to how AI transforms the design, management, and optimisation of wireless networks. Additionally, the book discusses emerging trends in AI-aided wireless communication systems, including integrated sensing and communications, intelligent spectrum management, traffic scheduling for optimal resource allocation, energy efficiency, security and privacy, and ethical considerations. The book offers innovative approaches to solving real-world wireless network challenges related to spectrum management, network optimisation, traffic management, security, and privacy, leveraging cutting-edge AI algorithms.

The book is written for a diverse audience, including researchers, academics, industry professionals, and policymakers in wireless communications, artificial intelligence, and network systems. It is particularly relevant to engineers and practitioners involved in designing, developing, and deploying next-generation wireless networks, as well as to graduate and postgraduate students specializing in AI, telecommunications, and computer networks.

This handbook bridges the gap between theory and practical applications, providing foundational knowledge and actionable insights into the use of AI in future wireless networks. The book is a comprehensive guide to developing, deploying, and managing intelligent wireless systems, contributing to the global push toward a connected world.

Handbook of AI in Wireless Networks: Foundations, Techniques, and Emerging Applications explores the intersection of artificial intelligence (AI) and wireless communication systems, providing a comprehensive guide to how AI transforms the design, management, and optimisation of wireless networks. Additionally, the book discusses emerging trends in AI-aided wireless communication systems, including integrated sensing and communications, intelligent spectrum management, traffic scheduling for optimal resource allocation, energy efficiency, security and privacy, and ethical considerations. The book offers innovative approaches to solving real-world wireless network challenges related to spectrum management, network optimisation, traffic management, security, and privacy, leveraging cutting-edge AI algorithms.

The book is written for a diverse audience, including researchers, academics, industry professionals, and policymakers in wireless communications, artificial intelligence, and network systems. It is particularly relevant to engineers and practitioners involved in designing, developing, and deploying next-generation wireless networks, as well as to graduate and postgraduate students specializing in AI, telecommunications, and computer networks.

This handbook bridges the gap between theory and practical applications, providing foundational knowledge and actionable insights into the use of AI in future wireless networks. The book is a comprehensive guide to developing, deploying, and managing intelligent wireless systems, contributing to the global push toward a connected world.

Handbook of AI in Wireless Networks: Foundations, Techniques, and Emerging Applications explores the intersection of artificial intelligence (AI) and wireless communication systems, providing a comprehensive guide to how AI transforms the design, management, and optimisation of wireless networks. Additionally, the book discusses emerging trends in AI-aided wireless communication systems, including integrated sensing and communications, intelligent spectrum management, traffic scheduling for optimal resource allocation, energy efficiency, security and privacy, and ethical considerations. The book offers innovative approaches to solving real-world wireless network challenges related to spectrum management, network optimisation, traffic management, security, and privacy, leveraging cutting-edge AI algorithms.

The book is written for a diverse audience, including researchers, academics, industry professionals, and policymakers in wireless communications, artificial intelligence, and network systems. It is particularly relevant to engineers and practitioners involved in designing, developing, and deploying next-generation wireless networks, as well as to graduate and postgraduate students specializing in AI, telecommunications, and computer networks.