AI-enabled Smart Antenna Design for 6G Wireless Systems

1. Auflage 2026
ISBN: 978-1-041-28529-8
Verlag: Taylor & Francis Ltd

Buch, Englisch, 344 Seiten, Format (B × H): 178 mm x 254 mm

A comprehensive guide to 6G wireless systems and AI-powered smart antennas, this book explores how artificial intelligence can transform antenna design, optimize, and deploy next-generation networks. Readers will gain practical insights into integrating AI with advanced antenna technologies for ultra-fast, energy-efficient, and adaptive 6G networks. It combines theory with hands-on simulation, real-world use cases, and open-source resources, covering topics like beamforming, RIS, terahertz antennas, and edge AI.

Key Features:

- Effectively bridges the gap between AI theory and practical smart antenna design for 6G networks.

- Comprehensively covers terahertz antennas, RIS, edge AI, and real-world deployment scenarios.

- Includes supplementary materials such as Python/MATLAB code, CST/HFSS simulation files, and curated datasets via a dedicated GitHub repository for reproducibility and practical learning.

- Ideal for graduate students, researchers, and industry professionals in wireless communications, antenna engineering, and AI applications.

- Also suited for instructors developing advanced courses on 6G, IoT, and smart antenna systems.

Zielgruppe

Postgraduate and Professional Reference

Autoren/Hrsg.

Pandey, Jay Kumar

Jiang, Weiwei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise

Inhaltsverzeichnis

Chapter 1: Introduction to 6G Wireless Evolution. Chapter 2: Fundamentals of Smart Antenna Technologies. Chapter 3: Antenna System Challenges in 6G Environments. Chapter 4: AI-enabled Smart Antenna Design for 6G Wireless Systems. Chapter 5: Machine Learning for Beamforming and Direction Finding. Chapter 6: Deep Learning-Based Smart Antenna Adaptation. Chapter 7: Reinforcement Learning for Antenna Configuration. Chapter 8: Reconfigurable Intelligent Surfaces (RIS) and AI Control. Chapter 9: Terahertz Antennas and AI-Driven Optimization. Chapter 10: AI-Enabled mMIMO and Cell-Free Systems. Chapter 11: Antenna Array Design Using Evolutionary AI Algorithms. Chapter 12: Advanced Antenna Synthesis Using Evolutionary AI-Based Optimization Techniques. Chapter 13: Analyzing 6G Wireless Evolution Using Scopus Data and AI-Powered Bibliometrix Frameworks. Chapter 14: AI-Driven Antenna Systems: Applications and Emerging Innovations. Chapter 15: Experimental Platforms, Simulations, and Open Datasets. Chapter 16: Future Trends and Research Challenges in Antenna Systems.

Über Autor(innen)

Dr. Jay Kumar Pandey

Dr. Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electrical & Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. and has done his M.Tech. with specialization in Power Control (Instrumentation), and also done his MBA in Finance and Marketing. His subjects of interest are related to Artificial Intelligence, Biomedical & Healthcare, Image Processing, Machine Learning, Business Management, and Renewable Energy. He has 15 years of teaching and research experience, has published more than 30 research papers in National and International journals /conferences & Book Chapters in CRC, NOVA, Taylor & Francis, Springer, and IGI Publisher. Dr. Pandey is an editor of books (edited) published by reputed publishers Apple Academy Press, IGI, Elsevier, Wiley-IEEE, NOVA, Bentham Science, IAP, Emerald Publication, Springer, CRC, Scrivener -Wiley, River Publisher, Taylor & Francis & Cambridge Scholar.Dr. Pandey is also Editor of the Journal of Technology Innovations and Energy in the United States. Dr. Pandey has been a reviewer in different conferences/journals/Book Chapters like (The Journal of Supercomputing in Springer Nature, IGI publishing, Journal of Security and Communication Networks Hindawi, Journal of Biomimetics, Biomaterials and Biomedical Engineering (JBBBE) Scientific Net, Switzerland, Advanced Engineering Forum (AEF) Scientific Net, Switzerland), and Engineering Applications of Artificial Intelligence.

Dr. Weiwei Jiang

Dr. Weiwei Jiang received the B.Sc. and Ph.D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2013 and 2018, respectively. He is currently an assistant professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, and Key Laboratory of Universal Wireless Communications, Ministry of Education. His current research interests include artificial intelligence, machine learning, big data, wireless communication, and edge computing. He has published more than 60 academic papers in IEEE Trans and other journals, with more than 3500 citations in Google Scholar. He is one of Stanford's 2023 and 2024 List of the World's Top 2% Scientists. In addition to his research endeavors, Dr. Weiwei Jiang actively engages with scholarly journals as an Editor, including Information Fusion, Future Generation Computer Systems, Engineering Reports, Data Science and Management, Journal of Computational and Cognitive Engineering, and Indonesian Journal of Electrical Engineering and Computer Science, INGENIERIA E INVESTIGACION, International Journal of Intelligent Transportation Systems Research, EAI Endorsed Transactions on AI and Robotics, EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. He is also the Guest Editor for many journals, including Information Fusion, Neural Computing and Applications, International Journal of Intelligent Systems, etc.