Human-Centric Integration of 6G-Enabled Technologies for Modern Society

Fundamentals, Applications, Analysis and Challenges

1st Edition - April 29, 2025
Imprint: Academic Press
Editors: Amit Kumar Tyagi, Shrikant Tiwari
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 7 4 3 4 - 3
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 2 7 4 3 5 - 0

Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges serves as a comprehensive reference, addressing the in… Read more

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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.

Title of Book
Cover image
Title page
Table of Contents
Copyright
List of contributors
Preface
Chapter 1 Introduction to 6G technology
Abstract
1.1 Introduction
1.2 Technological advancements that will impact networks in the future
1.3 Assumptions of 6G technology
1.4 The 6G radio-access network is an emerging independent radio-access technology
1.5 To accommodate 5G core in 6G radio-access network and novel applications
1.6 The evolution of wireless technology
1.7 6G enabling technologies
1.8 Challenges of 6G technology
1.9 Opportunities or possibilities of 6G technology
1.10 Benefits of 6G versus 5G technology
1.11 Need of sixth generation technology
1.12 Applications of 6G technology
1.13 Research on 6G technology
1.14 Future scope of 6G networks
1.15 Conclusion
References
Chapter 2 Evolution of wireless communication
Abstract
2.1 Introduction
2.2 Conclusion
References
Chapter 3 Fundamentals of 6G networks
Abstract
3.1 Introduction
3.2 Evolution of 6G from 5G
3.3 Key performance indicators in comparison with 5G
3.4 Enabling technologies
3.5 6G use cases and necessary technologies
3.6 Challenges of 6G network
3.7 Research opportunities of 6G network
3.8 Conclusion
References
Chapter 4 Millimeter wave and terahertz communication
Abstract
4.1 Introduction
4.2 6G transmission models
4.3 Multiple-input multiple-output technology
4.4 Power suitability
4.5 Integrated sensing
4.6 Industry insights
4.7 Conclusion
References
Chapter 5 Advanced antenna technologies in 6G
Abstract
5.1 Introduction
5.2 Massive multiple input multiple output
5.3 Beamforming
5.4 Diversity techniques
5.5 Terahertz antennas
5.6 Intelligent reflecting surface for the antenna-based wireless communication
5.7 Artificial intelligence for the antenna-based wireless communication
5.8 Nonterrestrial network-based antenna for wireless communication
5.9 Conclusion
References
Chapter 6 Digital twin for blockchain-enabled intelligent transportation systems in smart cities
Abstract
6.1 Introduction to digital twin, blockchain-enabled intelligent transportation systems and smart cities
6.2 Smart cities and intelligent transportation systems: definition and characteristics
6.3 Digital twin technology in transportation: concept and principles, and applications
6.4 Blockchain technology in intelligent transportation system: introduction, key features and components and applications
6.5 Integration of digital twin consensus and blockchain in transportation in this modern era
6.6 Smart contracts for transportation operations: pros and cons
6.7 Issues and challenges toward using digital twin in blockchain based its for smart cities
6.8 Future possible innovations toward using digital twin in blockchain-based intelligent transportation system for smart cities
6.9 Conclusion
References
Chapter 7 Enhancing earthquake detection: integrating ultra-reliable low-latency communication with distributed acoustic sensor networks
Abstract
7.1 Introduction
7.2 Ultra-reliable low-latency communication
7.3 Das for earthquake detection
7.4 Enablers of ultra-reliable low-latency communication
7.5 Sparse vector coding for distributed acoustic sensor information transmission
7.6 Performance analysis of sparse vector coding with distributed acoustic sensor data
7.7 Conclusion
References
Chapter 8 Authenticated integration of data science and IoT with Blockchain in IIoT environment
Abstract
8.1 Introduction
8.2 Literature survey
8.3 Previous work
8.4 Proposed work
8.5 Simulation and analysis of the work
8.6 Future scope
8.7 Conclusion
References
Chapter 9 Wireless communications fundamentals and security requirements for future
Abstract
9.1 Introduction
9.2 Fundamentals of wireless communications
9.3 Related work
9.4 Wireless communications security requirements
9.5 Security requirements for future wireless networks
9.6 Future perspectives of wireless communication
9.7 Conclusion
References
Chapter 10 Use cases and applications of 6G technology
Abstract
10.1 Introduction
10.2 Background
10.3 Use cases and applications of 6G technology
10.4 Challenges and opportunities
10.5 Conclusion
References
Chapter 11 Redefining communication: the promise and potential of 6G antennas for a connected world
11.1 Introduction
11.2 Conclusion
References
Chapter 12 Transforming human resource management with 6G technologies: enhancing employee experience and organizational efficiency
Abstract
12.1 Introduction to 6G and human resource management
12.2 Enhancing employee experience with 6G
12.2 Transforming recruitment and onboarding
12.4 Smart workplaces and remote work
12.5 Data-driven decision-making
12.6 Challenges and risks
12.7 Future directions and strategies
12.8 Case studies and real-world applications
12.9 Conclusion
References
Chapter 13 Futuristic technologies with 6G for modern era
Abstract
13.1 Introduction
13.2 6G network technical details
13.3 Smart healthcare and medical operations
13.4 Connected intelligence and automated system for traffic control
13.5 Digital twin
13.6 Unmanned aerial vehicle
13.7 Internet of Nano Things
13.8 Augmented reality/metaverse/virtual reality
13.9 Extending coverage: integrating terrestrial network and satellite communication
13.10 Space/defense sector with 6G network
13.11 Hardware in loop simulation
13.12 Conclusion and future scope
References
Further reading
Chapter 14 Cloud computing and digital twin-based healthcare monitoring frameworks for next generation
Abstract
14.1 Introduction to cloud computing, digital twin, and smart healthcare
14.2 Background work
14.3 Cloud computing in healthcare: overview of cloud service models (IaaS, PaaS, SaaS) and cloud deployment models (public, private, hybrid)
14.4 Digital twin technology in healthcare: definition, concepts, key components and applications
14.5 Integration of cloud computing and digital twin in healthcare for next generation society
14.6 Issues and challenges toward cloud and digital twin-based healthcare monitoring
14.7 Future trends and developments towards cloud and digital twin based healthcare monitoring
14.8 Conclusion
References
Chapter 15 Quantum-aided deep learning approaches for 6G resource allocation
Abstract
15.1 Introduction
15.2 6G technology in a nutshell
15.3 The challenges in achieving 6G technology
15.4 Related works
15.5 System architecture
15.6 Artificial intelligence-driven collaborative dynamic resource allocation
15.7 Different paradigms of wireless communication and deep learning
15.8 Deep learning for end-to-end communication chain
15.9 Deep learning-based architecture design for wireless communication
15.10 Quantum-aided machine learning approaches
15.11 Quantum wireless resource allocation
15.12 Quantum-based security integration on 6G network infrastructure
15.13 Possible future redirections
15.14 Conclusion
Acknowledgments
References
Chapter 16 Opportunities and challenges of 6G enabled smart infrastructure for a sustainable society
Abstract
16.1 Introduction
16.2 Associated works and input
16.3 The development phase from 1G to 6G
16.4 The 6G wireless communication vision
16.5 Applications of 6G
16.6 Industry use cases for 6G
16.7 Standardization, design, and deployment challenges in 6G
16.8 6G: business model and sustainability
16.9 New developments, prospects for further study, and takeaways
16.10 Conclusion
References
Chapter 17 Educational implications of 6G technology for society 5.0
Abstract
17.1 Introduction
17.2 Evolution of communication technologies in education
17.3 6G technology overview
17.4 Educational implications of 6G for society 5.0
17.5 Hybrid and remote learning environments revolutionized in 6G technology for society 5.0 [RQ1]
17.6 Personalized learning advances adaptive education systems in 6G for society 5.0 [RQ2]
17.7 Achieving equitable access to high-quality education using 6G wireless networks for society 5.0 [RQ3]
17.8 Ethical and privacy issues in 6G-enabled education for society 5.0 [RQ4]
17.9 Preparation of the academics for the coming of 6G for society 5.0 [RQ5]
17.10 Benefits of 6G in education
17.11 Challenges and considerations
17.12 Conclusion
References
Chapter 18 Future opportunities toward importance of emerging technologies with 6G technology
Abstract
18.1 Introduction
18.2 Emerging technologies and their potential
18.3 Key features of 6G technology
18.4 Carbon nanotubes: a revolutionary material
18.5 Integration of 6G and carbon nanotube technologies
18.6 Challenges and considerations in integrating 6G and carbon nanotube technologies
18.7 Future research and development directions
18.8 Conclusion
References
Further reading
Chapter 19 Educational implications of 6G technologies
Abstract
19.1 Introduction to 6G technologies
19.2 Related work
19.3 Futuristic education with 6G technologies
19.4 Challenges and considerations of 6G
19.5 Educational implications of 6G technologies
19.6 Education implication with 6G
19.7 Conclusion
References
Chapter 20 LCNN-AKMP: a novel lightweight convolutional neural network-based authenticated key management protocol for enhanced security in cloud-assisted IoT deployments
Abstract
20.1 Introduction
20.2 Related work
20.3 LCNN-AKMP methodology
20.4 Implementation
20.5 Results and discussion
20.6 Conclusion
References
Chapter 21 Enhancing healthcare collaboration through blockchain-enabled digital twin integration
Abstract
21.1 Introduction
21.2 Blockchain technology in healthcare
21.3 Digital twins in healthcare
21.4 Blockchain as integration with digital twins
21.5 Case studies and applications
21.6 Challenges and opportunities
21.7 Future directions
21.8 Conclusion
References
Chapter 22 Challenges and solutions of Internet of Things security in the age of connectivity
Abstract
22.1 Introduction
22.2 Detailed background
22.3 Introduction to Internet of Things security
22.4 Vulnerabilities and threats in Internet of Things networks
22.5 Emerging technologies and solutions in Internet of Things security
22.6 Case studies of Internet of Things security implementations
22.7 Challenges and considerations in Internet of Things security
22.8 Future directions and innovations in Internet of Things security
22.9 Conclusion
References
Chapter 23 6G-Enabled smart Halal industry: enhancing compliance sustainability and efficiency
Abstract
23.1 Introduction
23.2 Smart monitoring and automation
23.3 Internet of Things and wireless communication with 6G
23.4 Artificial intelligence and data analytics with 6G
23.5 Digital twins with 6G
23.6 Sustainability and efficiency based on 6G
23.7 Enhanced consumer trust and engagement for the Halal industry
23.8 Conclusion
References
Index

Amit Kumar Tyagi

Amit Kumar Tyagi is an Assistant Professor, at the National Institute of Fashion Technology, New Delhi, India. Previously he worked as an Assistant Professor (Senior Grade 2), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India from 2019-2022. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) from 2009 to 2010, and 2012 to 2013. He was an Assistant Professor and head researcher at Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), India from 2018 to 2019. He supervised one PhD thesis and more than ten Master dissertations. He has contributed to several projects such as “AARIN” and “P3- Block” to address some of the open issues related to privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber-Physical Systems (MCPS). He has published over 200 papers in refereed high-impact journals, conferences, and books, and some of his articles won best paper awards. Also, he has filed more than 25 patents (Nationally and Internationally) in the areas of Deep Learning, Internet of Things, Cyber-Physical Systems, and Computer Vision. He has edited more than 25 books for IET, Elsevier, Springer, CRC Press, etc. Additionally, he has authored 4 Books on Intelligent Transportation Systems, Vehicular Ad-hoc Network, Machine learning and Internet of Things, with IET UK, Springer Germany, and BPB India publisher. He won the Faculty Research Award of the Year for 2020, 2021, and 2022 consecutively, given by Vellore Institute of Technology, Chennai, India. Recently, he was awarded the best paper award for his paper “A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient”, in ICCSA 2020, Italy (Europe). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, Universal Scientific Education and Research Network, CSI, and ISTE.

Affiliations and expertise

Assistant Professor, at National Institute of Fashion Technology, New Delhi, India

Shrikant Tiwari

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.

Affiliations and expertise

Associate Professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Uttar Pradesh, India.

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health