From 5G to 6G: Technologies, Architecture, AI, and Security

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From 5G to 6G Understand the transition to the sixth generation of wireless with this bold introduction The transition from the fifth generation of wireless communication (5G) to the coming sixth generation (6G) promises to be one of the most significant phases in the history of telecommunications. The technological, social, and logistical challenges promise to be significant, and meeting these challenges will determine the future of wireless communication. Experts and professionals across dozens of fields and industries are beginning to reckon seriously with these challenges as the 6G revolution approaches. From 5G to 6G provides an overview of this transition, offering a snapshot of a moment in which 5G is establishing itself and 6G draws ever nearer. It focuses on recent advances in wireless technology that brings 6G closer to reality, as well as the near-term challenges that still have to be met for this transition to succeed. The result is an essential book for anyone wishing to understand the future of wireless telecommunications in an increasingly connected world. From 5G to 6G readers will also find 6G applications to both AI and Machine Learning, technologies which loom ever larger in wireless communication Discussion of subjects including smart healthcare, cybersecurity, extended reality, and more Treatment of the ongoing infrastructural and technological requirements for 6G From 5G to 6G is essential for researchers and academics in wireless communication and computer science, as well as for undergraduates in related subjects and professionals in wireless-adjacent fields

Author(s): Abdulrahman Yarali
Publisher: Wiley
Year: 2023

Language: English
Pages: 224

Cover
Table of Contents
Series Page
Title Page
Copyright Page
Dedication Page
About the Author
Preface
1 Technologies and Development for the Next Information Age
1.1 Introduction
1.2 Roadmap to 6G
1.3 AI and Cybersecurity: Paving the Way for the Future
1.4 Fusion of IoT, AI, and Cybersecurity
1.5 How AI Can Help Solve These Problems
1.6 Connected Devices and Cybersecurity
1.7 Solutions for Data Management in Cybersecurity
1.8 Conclusion
References
2 Networks of the Future
2.1 Introduction
2.2 The Motive for Energy‐Efficient ICTs
2.3 Wireless Networks
2.4 Cognitive Networking
2.5 Mobile Edge Computing
2.6 Quantum Communications
2.7 Cybersecurity of 6G
2.8 Massive Machine‐Type Communications (MTC)
2.9 Edge‐Intelligence and Pervasive Artificial Intelligence in 6G
2.10 Blockchain: Foundations and Role in 6G
2.11 Role of Open‐Source Platforms in 6G
2.12 Integration of 5G with AI and IoT and Roadmap to 6G
2.13 3GPP
2.14 Conclusion
References
3 The Future of Wireless Communication with 6G
3.1 Introduction
3.2 Recent Trends Leading to 6G Technology Evolution
3.3 Security and Privacy Challenges in 6G Wireless Communications
3.4 The Impact of 6G on Healthcare Systems
3.5 The Impact of 6G on Space Technology and Satellite Communication
3.6 The Impact of 6G on Other Industries
3.7 Terahertz Wireless Systems and Networks with 6G
3.8 The Future of 6G and Its Role in IT
References
4 Artificial Intelligence and Machine Learning in the Era of 5G and 6G Technology
4.1 Artificial Intelligence and Machine Learning: Definitions, Applications, and Challenges
4.2 Artificial Intelligence: Laws, Regulations, and Ethical Issues
4.3 Potentials of Artificial Intelligence in Wireless 5G and 6G: Benefits and Challenges
4.4 Cybersecurity Issues in Advanced 5G and 6G
4.5 Benefits and Challenges of Using AI in Cybersecurity: Help or Hurt?
4.6 How Can AI Be Used by Hackers Attacking Networks?
4.7 Conclusion
References
5 6G Wireless Communication Systems
5.1 Introduction
5.2 Important Aspects of Sixth‐Generation Communication Technology
5.3 Enabling Technologies Behind the Drive for 6G
5.4 Extreme Performance Technologies in 6G Connectivity
5.5 6G Communications Using Intelligent Platforms
5.6 Artificial Intelligence and a Data‐Driven Approach to Networks
5.7 Sensing for 6G
5.8 Applications
5.9 Innovative 6G Network Architectures
5.10 Conclusion
References
6 6G
6.1 Introduction
6.2 6G Network Architecture Vision
6.3 6th Generation Networks: A Step Beyond 5G
6.4 Emerging Applications of 6G Wireless Networks
6.5 The Requirements and KPI Targets of 6G
6.6 6G Applications
6.7 Challenges in 6G: Standardization, Design, and Deployment
References
7 Cybersecurity in Digital Transformation Era
7.1 Introduction
7.2 Digital Transformation and Mesh Networks of Networks
7.3 Security as the Enemy of Digital Transformation
7.4 The Current State of Cybercrime
7.5 Security and Technologies of the Digital Transformation Economy
7.6 Tackling the Cybersecurity Maturity Challenges to Succeed with Digital Transformation
7.7 Security Maturity and Optimization: Perception versus Reality
7.8 Changing Security Parameters and Cyber Risks Demand a Holistic Security Approach for Digital Business
7.9 Cybersecurity Challenges and Digital Risks for the Future
7.10 Conclusion
References
8 Next Generations Networks
8.1 Introduction
8.2 The State of 5G Networks
8.3 6G: Key Technologies
8.4 6G: Application and Services
8.5 Benefits of 6G over 5G: A Comparison
8.6 6G: Integration and Roadmap
8.7 Key Words in Safeguarding 6G
8.8 Trustworthiness in 6G
8.9 Network Security Architecture for 6G
8.10 6G Wireless Systems
8.11 Fifth Generation vs. Sixth Generation
8.12 Conclusion
References
9 Artificial Intelligence
9.1 Introduction
9.2 5G and 6G
9.3 Cybersecurity in Its Current State
9.4 AI as a Concept
9.5 AI: A Solution for Cybersecurity
9.6 AI: New Challenges in Cybersecurity
9.7 Conclusion
References
10 Impact of Artificial Intelligence and Machine Learning on Cybersecurity
10.1 Introduction
10.2 What Is Artificial Intelligence (AI)?
10.3 The Transformative Power of AI
10.4 Understanding the Relationship Between AI and Cybersecurity
10.5 The Promise and Challenges of AI for Cybersecurity
10.6 Broad Domain of AI Security (Major Themes in the AI Security Landscape)
10.7 Transparency of Artificial Intelligence and Accountability Societal Aspects
10.8 Global AI Security Priorities
10.9 Automation of Services in Cybercriminal Offense
10.10 The Future of AI in Cybersecurity
10.11 Conclusion
References
11 AI and Cybersecurity
11.1 Introduction
11.2 IoT Security and the Role of AI
11.3 Cybercrime and Cybersecurity
11.4 How Can AI Help Solve These Problems?
11.5 The Realm of Cyberspace
11.6 Connected Devices and Cybersecurity
11.7 Solutions for Data Management in Cybersecurity
11.8 Conclusion
References
12 Future 6G Networks
12.1 Introduction
12.2 Vision, Challenges, and Key Features for Future 6G Networks
12.3 Rationale for 6G Networks with Prevailing and Future Success of 5G
12.4 Missing Units from LTE and 5G That 6G Will Integrate
12.5 Features of 6G Networks
12.6 Wireless Networks
12.7 Challenges for 6G Networks
12.8 Conclusion
References
Index
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