The Convergence of Artificial Intelligence (AI) and 6G Communication Networks: The Needs and Implications

Erscheinungsjahr 2025
ISBN: 978-0-443-18923-4
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm

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.

Autoren/Hrsg.

Weitere Mitwirkende

Raj, Pethuru

Asari, Vijayan

Sakthivel, Usha

Susila, N

Ramachandran, Muthu

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik Mathematik Mathematik Allgemein

Inhaltsverzeichnis

1. Cyber security Challenges in 5G Networks
2. Overcoming challenges in 5G performance evaluation and QoE management
3. Demystifying the 5G-Advanced Communication Paradigm
4. Unleashing Synergy: AI Enabled 6G Communication Networks; A Comprehensive Exploration of Necessities and Implications
5. Unlocking the Potential of 6G: From Technical Foundations to Practical Applications in Edge AI
6. 6G Communication Paradigm: A Comprehensive Exploration of The Next Generation Connectivity
7. Logistic Industrial Digital Transformation with 6G - A study on the technological innovations, process, impact, and future challenges
8. AI-Driven Innovations in 6G Networks: A Strategic Management Perspective
9. Artificial Intelligence (AI) powers up 6G Networking and Communication
10. Digital Transformation Technologies: An Entrepreneurial Exploration for Seamless Integration
11. Energy Efficiency Sustainability Framework for Cloud and Quantum Data Centres in the Era of 6G
12. Metaverse: A Detailed Review
13. Quantum Paradigm In 6G Revolutionizing Network
14. Synergising 6G Technologies, Artificial Intelligence, and Green Innovations: A Path Towards Sustainable and Intelligent Connectivity
15. 2D Convolution Neural Network based Efficient Model for Brain Tumor Detection using 5G Edge Cloud
16. AI Based Federated Learning for 6G Networks
17. 6G-inspired Metaverse Applications
18. 6G Communication for Next-Generation Metaverse Systems
19. A Federated Approach for Patient data monitoring using Artificial Intelligence and DCRS Technique
20. Enhancing Data Services with AI-Powered Telemedicine, Metaverse, and Remote Collaboration Over 6G Networks
21. Towards 6G Technologies: Insight into Architecture, Communications, AI applications and use cases
22. 6G industrial use cases
23. 6G Networks: Advancements, Advantages and Challenges

Über Autor(innen)

Ramachandran, Muthu
Muthu Ramachandran, PhD, has more than thirty years of teaching and research experience both in academia and industrial research setting. Prior to this, he spent eight years in industrial research at Philips Research Labs and subsequently at Volantis Systems Ltd, where he has worked on various research projects including software engineering, cloud computing, data science, IoT, and machine learning. Currently, Dr. Ramachandran is leading research in the areas of Cloud Software Engineering, Big Data Software Engineering, IoT Software Engineering, Software Security Engineering, SOA, Cloud Computing, and in the main areas of Software Engineering on RE, CBSE, software architecture, reuse, quality and testing. He has published 15 books, 50 book chapters, 100s of journal articles and conferences. He has also been chair and keynote speaker of conferences on SE-CLOUD, IoTBDS, and COMPLEXIS.