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Elsevier

Intelligent Reflecting Surfaces for 6G

Wireless Power Transfer and Enhanced Communications

  • 1st Edition - January 10, 2027
  • Latest edition
  • Authors: Zhengyu Zhu, Qingqing Wu, Zheng Chu, Hehao Niu
  • Language: English

Intelligent Reflecting Surfaces for 6G: Wireless Power Transfer and Enhanced Communications provides a comprehensive understanding of how intelligent reflecting surface will shape… Read more

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Description

Intelligent Reflecting Surfaces for 6G: Wireless Power Transfer and Enhanced Communications provides a comprehensive understanding of how intelligent reflecting surface will shape the future of 6G wireless communication. The book addresses key challenges in enhancing signal propagation, improving energy efficiency, and ensuring secure communication in complex 6G environments. By covering breakthrough technologies such as hybrid-field communication, wireless energy harvesting, and physical layer security, this book equips readers with practical solutions for overcoming the limitations of current systems and achieving sustainable, high-performance 6G networks.

Key features

  • Presents the theory behind combining near-field and far-field communications to enhance transmission capabilities in 6G networks
  • Provides a comprehensive guide to implementing wireless energy harvesting and power transfer technologies within IRS-empowered networks, thereby optimizing energy usage while maintaining high-performance communication
  • Shows how intelligent reflecting surface can be leveraged to mitigate potential vulnerabilities and ensure secure, high-capacity, and low-latency communication

Readership

Communications engineering graduate students and researchers; R&D engineers in the telecommunications industry

Table of contents

Part 1: IRS-Enhanced Wireless Communication Technology

1. Overview

2. Simultaneously Transmitting and Reflecting Surface

3. mmWave/Terahertz Communication

4. Applications of IRS in Internet of Things

Part 2: IRS-Driven Wireless Energy Transfer and Power Communication System

5. Overview

6. Wireless Powered Communication Networks

7. Simultaneous Wireless Information and Power Transfer

8. Applications of IRS-Enhanced WPCN and SWIPT in Internet of Things

Part 3: Key Challenges and Future Directions in IRS-Enabled Wireless System

9. IRS Deployment

10. Other Related Topics and New Challenges

11. Future Research Directions

Product details

  • Edition: 1
  • Latest edition
  • Published: January 10, 2027
  • Language: English

About the authors

ZZ

Zhengyu Zhu

Dr Zhengyu Zhu is with the School of Information Engineering, Zhengzhou University, Zhengzhou, China. since July 2017. received the Ph.D. (Hons.) degree in information engineering from Zhengzhou University, Zhengzhou, China, in 2017. From October 2013 to October 2015, he visited the Wireless Communication Laboratory, Korea University, Seoul, South Korea, to conduct a collaborative research as a Visiting Student. He is currently a Lecturer with Zhengzhou University. His research interests include information theory and signal processing for wireless communications such as 5G, the Internet of Things, machine learning, multiple-input multiple-output wireless networks, physical layer security, wireless cooperative networks, convex optimization techniques, and energy harvesting communication systems. Currently, he has authored/co-authored 50+ journal and conference papers with 600+ citations (h-index of 13 in Google Scholar profile: ), where one journal paper have been classified as ESI Highly Cited Paper. He is Member of IEEE.
Affiliations and expertise
Lecturer, Zhengzhou University, Zhengzhou, Henan, China

QW

Qingqing Wu

Prof. Wu is currently an Associate Professor at Shanghai Jiao Tong University. His research interests include reconfigurable intelligent surfaces (RIS), terahertz (THz) communications, UAV communications, and MIMO transceiver design. He has been recognized as a Clarivate Highly Cited Researcher since 2021 and has received the AI 2000 Most Influential Scholar Award from AMiner since 2021. His honors include the IEEE Communications Society Fred W. Ellersick Prize, the Best Tutorial Paper Award (2023), the Asia-Pacific Best Young Researcher Award and Outstanding Paper Award (2022), and the Young Author Best Paper Award (2021 and 2024). He was recognized as an Exemplary Editor of IEEE Communications Letters in 2019. He currently serves as an Associate, Senior, or Area Editor for IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Communications Letters, and IEEE Wireless Communications Letters.

Affiliations and expertise
Shanghai Jiao Tong University, China

ZC

Zheng Chu

Dr. Zheng Chu is an Associate Professor at Department of Electrical and Electronic Engineering, University of Nottingham, Ningbo, China. Prior to this, he held research positions with the Faculty of Science and Technology, Middlesex University, London, UK, from 2016 to 2017, and with the Institute for Communication Systems (Home of 5G & 6G Innovation Centre), University of Surrey, Guildford, UK, from 2017 - 2024, respectively. He earned M.Sc. (with distinction) and Ph.D. degrees in the School of Engineering (former the School of Electrical and Electronic Engineering), Newcastle University, Newcastle upon Tyne, UK, in 2012 and 2016, respectively. His current research interests include 6G, IoT networks, Artificial Intelligence (AI)-driven future networks, space-air-ground integrated networks (SAGIN), smart mobility and transportations. Currently, Dr. Chu has published more than 150 top-tier peer-review journal and flagship conference papers with over 8600 citations (h-index of 52 in Google Scholar profile), where 7 journal papers have been classified as ESI Highly Cited Paper. He received the Exemplary Reviewer for IEEE TRANSACTIONS ON COMMUNICATIONS in 2022, and the Best Paper Awards of UCOM (2024 & 2025), IEEE ICCT (2024), and EAI CHINACOM (2024). Dr. Chu has been included in the list of world top 2% research scientists at 2020 - 2025. He is a Member of IEEE, and Fellow of The Higher Education Academy (FHEA).

Affiliations and expertise
Department of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo 315100, China.

HN

Hehao Niu

Hehao Niu is currently an Engineer with the Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China. His current research interests include smart radio environments, smart reflecting surfaces, 5G/6G communication networks, unmanned aerial vehicle communication, machine learning, wireless physical layer security, and anti-jamming communication. He has published research papers on topics such as reconfigurable intelligent surfaces, phase shift, additive noise, MIMO, optimization problems, alternating optimization, beamforming design, simulation results, multiple-input single-output (MISO), non-orthogonal multiple access (NOMA), and semidefinite relaxation.
Affiliations and expertise
National University of Defense Technology, China