Advances in Computers, Volume 139 focuses on the convergence of Artificial Intelligence (AI) and 6G communication networks, addressing key advancements and implications across various fields. It explores cybersecurity challenges in 5G networks, solutions for 5G performance evaluation, and the transition to 5G-Advanced. The role of AI in enhancing 6G network performance, resource allocation, and management is discussed alongside the technical foundations of 6G and its ability to power edge AI applications. The volume highlights how 6G will transform industries like logistics through automation and AI-driven decision-making, while also covering strategic management perspectives on AI-driven innovations. Sustainability is a key theme, with discussions on energy-efficient cloud and quantum data centers, as well as the integration of green innovations into AI-6G synergy. The metaverse and its reliance on 5G and 6G for immersive experiences are reviewed, alongside the revolutionary potential of quantum computing in 6G networks. The practical applications of AI, such as a CNN-based model for brain tumor detection using 5G edge cloud, and federated learning for 6G, demonstrate the technology's impact on healthcare and data privacy. Additionally, the volume delves into 6G’s role in enabling next-generation metaverse systems and AI-powered telemedicine, while providing insights into the architecture, communication systems, and industrial use cases of 6G. It concludes by summarizing the advancements, advantages, and challenges of 6G, offering a comprehensive view of its future impact on global connectivity.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Contributors - p. xv 6. Preface - p. xix 7. Chapter One: Cyber security challenges in 5G networks - p. 1 8. Chapter Two: Overcoming challenges in 5G performance evaluation and QoE management - p. 29 9. Chapter Three: Demystifying the 5G-Advanced communication paradigm - p. 61 10. Chapter Four: Unlocking the potential of 6G: From technical foundations to practical applications in edge AI - p. 89 11. Chapter Five: 6G communication paradigm: A comprehensive exploration of the next generation connectivity - p. 149 12. Chapter Six: Logistic industrial digital transformation with 6G – a study on the technological innovations, process, impact, and future challenges - p. 177 13. Chapter Seven: AI-driven innovations in 6G networks: A strategic management perspective - p. 203 14. Chapter Eight: Artificial intelligence (AI) powers up 6G networking and communication - p. 233 15. Chapter Nine: Digital transformation technologies: An entrepreneurial exploration for seamless integration - p. 265 16. Chapter Ten: Energy efficiency sustainability framework for cloud and quantum data centres in the era of 6G - p. 295 17. Chapter Eleven: Metaverse: A detailed review - p. 327 18. Chapter Twelve: Quantum paradigm In 6G revolutionising network - p. 349 19. Chapter Thirteen: Synergising 6G technologies, artificial intelligence, and green innovations: A path towards sustainable and intelligent connectivity - p. 381 20. Chapter Fourteen: 2D convolution neural network-based efficient model for brain tumor detection using 5G Edge Cloud - p. 433 21. Chapter Fifteen: AI-based federated learning for 6G networks - p. 451 22. Chapter Sixteen: 6G communication for next-generation metaverse systems - p. 473 23. Chapter Seventeen: A federated approach for patient data monitoring using artificial intelligence and DCRS technique - p. 507 24. Chapter Eighteen: Enhancing data services with AI-powered telemedicine, metaverse, and remote collaboration over 6G networks - p. 531 25. Chapter Nineteen: Towards 6G technologies: Insight into architecture, communication, AI applications and use cases - p. 561 26. Chapter Twenty: 6G industrial use cases - p. 585
Advances in Computers, Volume 139 focuses on the convergence of Artificial Intelligence (AI) and 6G communication networks, addressing key advancements and implications across various fields. It explores cybersecurity challenges in 5G networks, solutions for 5G performance evaluation, and the transition to 5G-Advanced. The role of AI in enhancing 6G network performance, resource allocation, and management is discussed alongside the technical foundations of 6G and its ability to power edge AI applications. The volume highlights how 6G will transform industries like logistics through automation and AI-driven decision-making, while also covering strategic management perspectives on AI-driven innovations. Sustainability is a key theme, with discussions on energy-efficient cloud and quantum data centers, as well as the integration of green innovations into AI-6G synergy. The metaverse and its reliance on 5G and 6G for immersive experiences are reviewed, alongside the revolutionary potential of quantum computing in 6G networks. The practical applications of AI, such as a CNN-based model for brain tumor detection using 5G edge cloud, and federated learning for 6G, demonstrate the technology's impact on healthcare and data privacy. Additionally, the volume delves into 6G’s role in enabling next-generation metaverse systems and AI-powered telemedicine, while providing insights into the architecture, communication systems, and industrial use cases of 6G. It concludes by summarizing the advancements, advantages, and challenges of 6G, offering a comprehensive view of its future impact on global connectivity.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Contributors - p. xv 6. Preface - p. xix 7. Chapter One: Cyber security challenges in 5G networks - p. 1 8. Chapter Two: Overcoming challenges in 5G performance evaluation and QoE management - p. 29 9. Chapter Three: Demystifying the 5G-Advanced communication paradigm - p. 61 10. Chapter Four: Unlocking the potential of 6G: From technical foundations to practical applications in edge AI - p. 89 11. Chapter Five: 6G communication paradigm: A comprehensive exploration of the next generation connectivity - p. 149 12. Chapter Six: Logistic industrial digital transformation with 6G – a study on the technological innovations, process, impact, and future challenges - p. 177 13. Chapter Seven: AI-driven innovations in 6G networks: A strategic management perspective - p. 203 14. Chapter Eight: Artificial intelligence (AI) powers up 6G networking and communication - p. 233 15. Chapter Nine: Digital transformation technologies: An entrepreneurial exploration for seamless integration - p. 265 16. Chapter Ten: Energy efficiency sustainability framework for cloud and quantum data centres in the era of 6G - p. 295 17. Chapter Eleven: Metaverse: A detailed review - p. 327 18. Chapter Twelve: Quantum paradigm In 6G revolutionising network - p. 349 19. Chapter Thirteen: Synergising 6G technologies, artificial intelligence, and green innovations: A path towards sustainable and intelligent connectivity - p. 381 20. Chapter Fourteen: 2D convolution neural network-based efficient model for brain tumor detection using 5G Edge Cloud - p. 433 21. Chapter Fifteen: AI-based federated learning for 6G networks - p. 451 22. Chapter Sixteen: 6G communication for next-generation metaverse systems - p. 473 23. Chapter Seventeen: A federated approach for patient data monitoring using artificial intelligence and DCRS technique - p. 507 24. Chapter Eighteen: Enhancing data services with AI-powered telemedicine, metaverse, and remote collaboration over 6G networks - p. 531 25. Chapter Nineteen: Towards 6G technologies: Insight into architecture, communication, AI applications and use cases - p. 561 26. Chapter Twenty: 6G industrial use cases - p. 585
