Development of 6g Networks and Technology -

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Résumé :

This book provides an in-depth exploration of the potential impact of 6G networks on various industries, including healthcare, agriculture, transport, and national security, making it an essential resource for researchers, scholars, and students working in the field of wireless networks and high-speed data processing systems.

Development of 6G Networks and Technology explores the benefits and challenges of 5G and beyond that play a key role in the development of the next generation of internet. 6G is targeted to improve download speeds, eliminate latency, reduce congestion on mobile networks, and support advancements in technology. 6G has the potential to transform how the human, physical, and digital worlds interact with each other and the capability to support advancements in technology, such as virtual reality (VR), augmented reality (AR), the metaverse, and artificial intelligence (AI). Machine learning and deep learning modules are also an integral part of almost all automated systems where signal processing is performed at different levels. Signal processing in the form text, image, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of IC area with embedded bulk memories that lead to power consumption. Trade-offs between power consumption, delay, and IC area are always a concern of designers and researchers. Energy-efficient, high-speed data processing is required in major areas like biomedicine and healthcare, agriculture, transport, climate change, and national security and defense. This book will provide a foundation and initial inputs for researchers, scholars, and students working in the areas of wireless networks and high-speed data processing systems. It also provides techniques, tools, and methodologies to develop next-generation internet and 6G....

Biographie:

Preface xxi

Acknowledgements xxiii

1 Introduction to AI Techniques for 6G Application 1
Manoj Singh Adhikari, Raju Patel, Manoj Sindhwani and Shippu Sachdeva

1.1 Introduction 2

1.2 Different Generation of Communication: From 1G to 6G 4

1.2.1 First Generation (1G) 4

1.2.2 Second Generation (2G) 5

1.2.3 Third Generation (3G) 5

1.2.4 Fourth Generation (4G) 5

1.2.5 Fifth Generation (5G) 5

1.2.6 Sixth Generation (6G) 5

1.3 Key Features and Requirements of 6G Networks 6

1.3.1 Faster Data Speeds 6

1.3.2 Ultra-Low Latency 6

1.3.3 Massive Capacity 7

1.3.4 Energy Efficiency 7

1.3.5 Seamless Connectivity 7

1.3.6 Advanced Spectrum Management 7

1.3.7 Enhanced Security and Privacy 7

1.3.8 Artificial Intelligence Integration 7

1.3.9 Heterogeneous Network Architecture 8

1.4 Role of Artificial Intelligence in 6G 8

1.4.1 Intelligent Radio Resource Management 9

1.4.2 Beamforming and MIMO 9

1.4.3 Intelligent Network Slicing 9

1.4.4 Intelligent Edge Computing 9

1.4.5 Intelligent Internet of Things 9

1.4.6 Enhanced Privacy 10

1.4.7 Intelligent Network Organization 10

1.4.8 Intelligent User Experience and Services 10

1.5 Machine Learning for 6G Networks 10

1.5.1 Intelligent Resource Management 11

1.5.2 Dynamic Spectrum Access 11

1.5.3 Intelligent Beamforming 11

1.5.4 Network Anomaly Detection 11

1.5.5 Intelligent Edge Computing 11

1.5.6 Intelligent Internet of Things 12

1.5.7 Intelligent Network Slicing 12

1.5.8 Intelligent Network Planning and Optimization 12

1.5.9 Predictive Maintenance 12

1.6 Deep Learning for 6G Applications 12

1.6.1 Enhanced Communication Systems 13

1.6.2 Intelligent Beamforming and Antenna Systems 13

1.6.3 Image and Video Processing 13

1.6.4 Intelligent Internet of Things 13

1.6.5 Autonomous Systems 13

1.6.6 Natural Language Processing and Speech Recognition 14

1.6.7 Augmented Reality and Virtual Reality 14

1.6.8 Network Security 14

1.7 Edge Computing and AI in 6G 14

1.7.1 Distributed Intelligence 14

1.7.2 Low-Latency Applications 15

1.7.3 Intelligent Edge Devices 15

1.7.4 Edge-AI-Assisted Network Management 15

1.7.5 Federated Learning 15

1.7.6 AI-Driven Security 15

1.7.7 Edge-AI for Content Delivery 16

1.7.8 Context-Aware Applications 16

1.8 AI-Enhanced Network Security in 6G 16

1.8.1 Threat Detection and Prevention 16

1.8.2 Anomaly Detection 17

1.8.3 Intrusion Detection and Prevention Systems (IDPS) 17

1.8.4 User Authentication 17

1.8.5 AI-Enabled Threat Intelligence 17

1.8.6 Automated Security Incident Response 17

1.8.7 AI-Enhanced Security Analytics 18

1.8.8 Privacy-Preserving Techniques 18

1.9 Quantum Computing and AI Fusion in 6G 18

1.9.1 Enhanced AI Algorithms 18

1.9.2 Optimization and Search Problems 19

1.9.3 Security and Encryption 19

1.9.4 Quantum-Assisted Machine Learning 19

1.9.5 Quantum Sensor Networks 19

1.9.6 Quantum-Assisted Simulation 19

1.9.7 Quantum Machine Learning 20

1.9.8 Quantum-Assisted Optimization 20

1.10 AI for Smart City Applications in 6G 20

1.10.1 Intelligent Traffic Management 20

1.10.2 Energy Management and Sustainability 21

1.10.3 Smart Infrastructure Monitoring 21

1.10.4 Waste Management 21

1.10.5 Smart Public Security and Safety 21

1.10.6 AI-Enabled Citizen Services 21

1.10.7 Urban Planning and Design 22<...

Sommaire:

Suman Lata Tripathi, PhD, is a professor at Lovely Professional University, Phagwara, India with more than seventeen years of experience in academics. She has published more than 74 research papers in refereed science journals and conferences, 14 books, and a book series in addition to 13 Indian patents and four copyrights. She has organized several workshops, summer internships, and expert lectures for students and has worked as a session chair, conference steering committee member, editorial board member, and peer reviewer in national and international journals and conferences.

Mufti Mahmud, PhD, is an associate professor of Cognitive Computing in the Department of Computer Science at Nottingham Trent University, United Kingdom. Additionally, he serves as the coordinator of the Computer Science and Informatics Unit of Assessment in the Research Excellence Framework at the university and the deputy group leader of and the Cognitive Computing and Brain Informatics research group. He is also an active member of the Computing and Informatics Research Centre and Medical Technologies Innovation Facility. He is a fellow of the Higher Education Academy, a senior member of the Institute of Electrical and Electronics Engineering, the Association of Computing Machinery, and a professional member of the British Computer Society.

C. Narmadha, PhD, is an associate professor and head of the Department of Electronics and Communication Engineering at the Periyar Maniammai Institute of Science and Technology and University, India. She has more than 19 years of academic experience and has published more than 15 research articles. Additionally, she has organized several workshops, summer internships, expert lectures, and research and innovation activities for students. She is a professional associated as a member of the Indian Society for Technical Education, Computer Society of India, and Broadcast Engineering Society. Her areas of expertise include wireless sensor networks, computer and communication systems, and signal processing.

S. Albert Alexander, PhD, is the recipient of the prestigious Raman Research Fellowship from the University Grants Commission from the Government of India. He has 15 years of academic and research experience, has published 57 technical papers in national and international journals, and presented 53 papers at national and international conferences. Additionally, he has completed four Government of India-funded projects and is currently working on an additional four research projects. He is a member and in prestigious positions in various national and international forums and has been invited as a speaker for over 250 programs across India and the United States....