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Human-Centric Integration of 6G-Enabled Technologies for Modern Society. Fundamentals, Applications, Analysis and Challenges

  • Book

  • May 2025
  • Elsevier Science and Technology
  • ID: 6042189
Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges serves as a comprehensive reference, addressing the information needs of professionals by providing deep information about the fundamentals and applications of 6G, enabling them to make informed decisions in the dynamic landscape of advanced communication technologies. In the 23 chapters, this book introduces the reader to the 6G technology, the evolution of wireless communication, and the integration of artificial intelligence; provides the use cases and applications of 6G technology and the insights into the challenges, future trends, and emerging technologies; and includes the applications of 6G technology in remote healthcare services, patient monitoring, and medical diagnostics.

Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges redefines the way we connect, communicate, and collaborate with emerging technologies in this smart era of 6G technology. The title benefits from a collective wealth of knowledge and perspectives. This diversity enriches the content, providing readers with insights from various angles, setting it apart from publications authored or edited by a limited number of individuals.

Table of Contents

1. Introduction to 6G Technology
2. Evolution of Wireless Communication
3. Fundamentals of 6G Networks
4. Millimeter-Wave and Terahertz Communication
5. Advanced Antenna Technologies in 6G
6. Artificial Intelligence Integration
7. Ultra-Reliable Low Latency Communication (URLLC)
8. Energy Efficiency in 6G Networks
9. Security Challenges and Solutions
10. Spectrum Management in 6G
11. Use Cases and Applications of 6G Technology
12. Augmented Reality and Virtual Reality in 6G
13. Smart Cities and the Internet of Things (IoT)
14. Holographic Communication Technologies
15. Biometric Connectivity in 6G
16. 6G and Healthcare Applications
17. Ethical Issues in 6G Technology
18. Global Standardization and Regulatory Framework towards 6G
19. Infrastructure Deployment and Investment Towards 6G
20. Industry Collaboration in Advancing 6G
21. Challenges in Deploying 6G Networks
22. Future Trends and Emerging Technologies
23. Educational Implications of 6G Technology
24. Conclusion

Authors

Amit Kumar Tyagi Assistant Professor, at National Institute of Fashion Technology, New Delhi, India. Dr. Amit Kumar Tyagi is Assistant Professor and Senior Researcher at Vellore Institute of Technology (VIT), Chennai, India. His current research focuses on Machine Learning with Big Data, Blockchain Technology, Data Science, Cyber Physical Systems, Smart and Secure Computing and Privacy. He has contributed to several projects such as "AARIN� and "P3-Block� to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems. He received his Ph.D. Degree from Pondicherry Central University, India. He is a member of IEEE. Shrikant Tiwari Associate Professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Uttar Pradesh, India.. Dr. Tiwari received his Ph.D. in the Department of Computer Science & Engineering (CSE) from the Indian Institute of Technology (Banaras Hindu University), Varanasi (India) in 2012 and M. Tech. in Computer Science and Technology from the University of Mysore (India) in 2009. Currently. He is working as an Associate Professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Gautam Budha Nagar, Uttar Pradesh (India). He has authored and co-author more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE and member of ACM, IET, CSI, ISTE, IAENG, SCIEI. He is also a guest editorial board member and a reviewer for many international journals of repute.