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AI and Blockchain for Wireless Communications

Creating Resilient and Secure Systems

  • 1st Edition - September 16, 2026
  • Latest edition
  • Editors: Ferheen Ayaz, Zhengguo Sheng
  • Language: English

AI and Blockchain for Wireless Communications: Creating Resilient and Secure Systems describes the merger of AI and blockchain for the smooth functioning of secure wireless commun… Read more

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Description

AI and Blockchain for Wireless Communications: Creating Resilient and Secure Systems describes the merger of AI and blockchain for the smooth functioning of secure wireless communications. The book covers both sides of blockchain and AI integration – blockchain for assisting AI, such as solutions involving distributed learning and trustworthy AI, and AI solutions designed to support blockchain, such as solutions embedded in smart contracts for automation and authentication. The methods and techniques presented in the book are also supported by use cases that show the practical implementation of AI and blockchain based wireless communication systems.

It is suitable for students, researchers, and industry engineers in AI, blockchain, and wireless communications, and will help AI developers grasp concepts and see the benefits of blockchain integrated with AI—particularly in wireless communications—thus setting the groundwork for their future development.

Key features

  • Covers fundamental concepts, technical insights, and practical applications of AI and blockchain convergence
  • Addresses the implementation challenges of both AI and blockchain and their potential solutions
  • Includes recent technological trends and use cases involving IoT, IoVs, UAVs, and non-terrestrial networks
  • Highlights future opportunities of merging AI and blockchain

Readership

Students, researchers and industry engineers in AI, blockchain, and wireless communications; AI developers needing to grasp the concepts, and see the benefits of, blockchain integrated with AI, particularly in wireless communications

Table of contents

1. Introduction: AI and blockchain for Wireless Communications

2. Integration of AI and blockchain: An introduction from the perspective of wireless communications

3. Use cases in IoT and IoV

4. Use cases in UAV and non-terrestrial networks

5. Applications in dynamic spectrum sharing, resource allocation, named data networking

6. Industrial applications involving health telemetry and robotics

7. Green communications

8. Energy efficiency and net-zero

9. Opportunities in 6G networks

10. Quantum blockchains

11. AI based Digital Twins supported by blockchain

Product details

  • Edition: 1
  • Latest edition
  • Published: September 16, 2026
  • Language: English

About the editors

FA

Ferheen Ayaz

Dr. Ferheen Ayaz is a Research Fellow at the 6G Lab, School of Engineering and Informatics, University of Sussex. She is working on blockchain-based energy exchange solutions for electric vehicles and machine learning methods to predict and optimise energy demands. Previously, she has worked on security of deep neural networks for edge devices at University of Glasgow. She completed her PhD thesis at University of Sussex on the topic of blockchain solutions for the security and privacy of vehicular networks particularly message dissemination. She has published in various IEEE flagship conferences and journals. She volunteers for IEEE Young Professionals Climate and Sustainability Task Force and has also served IEEE Women in Engineering UK and Ireland Group and N2Women Network. She has served as a general chair and technical program committee member of various workshops and tracks at international conferences including IEEE WCNC 2023, IEEE CAMAD 2023 and IEEE VTC 2024.

Affiliations and expertise
Research Fellow, 6G Lab, School of Engineering and Informatics, University of Sussex, UK

ZS

Zhengguo Sheng

Dr. Zhengguo Sheng is the Dean of Sussex AI Joint Institute and Reader in the Department of Engineering and Design at University of Sussex. He was a senior lecturer and lecturer at the same university between 2015-2021. He received his Ph.D. and M.S. with distinction at Imperial College London in 2011 and 2007, respectively, and his B.Sc. from the University of Electronic Science and Technology of China (UESTC) in 2006. From 2013 to 2014, he was a research associate in the Department of Electrical and Computer Engineering at University of British Columbia (UBC), Canada. From 2011 to 2013, he was with France Telecom Orange Labs as the senior researcher and project manager in M2M/IoT. His current research interests cover connected vehicles, Internet-of-Things (IoT), and cloud/edge computing. He has published over 150 journal and conference papers, 5 books, 1 patent and 2 standards contribution in OneM2M and OMA LWM2M. His current research works are funded by H2020, EPSRC, NERC, RAEng, Royal Society and University of Sussex. He is also the receipt of Royal Society Kan Tong Po International Fellowship 2020, Emerging research award 2017 from University of Sussex. Senior Member of IEEE, IET, Fellow of The Higher Education Academy (HEA).

Affiliations and expertise
Dean of Sussex AI Joint Institute and Reader, Department of Engineering and Design, University of Sussex, UK