Integrate intelligent surfaces into the wireless networks of the future.

The next generation of wireless technology (6G) promises to transform wireless communication and human interconnectivity like never before. Intelligent surface, which adopts significant numbers of small reflective surfaces to reconfigure wireless connections and improve network performance, has recently been recognized as a critical component for enabling future 6G. The next phase of wireless technology demands engineers and researchers are familiar with this technology and are able to cope with the challenges.

Intelligent Surfaces Empowered 6G Wireless Network provides a thorough overview of intelligent surface technologies and their applications in wireless networks and 6G. It includes an introduction to the fundamentals of intelligent surfaces, before moving to more advanced content for engineers who understand them and look to apply them in the 6G realm. Its detailed discussion of the challenges and opportunities posed by intelligent surfaces empowered wireless networks makes it the first work of its kind.

Intelligent Surfaces Empowered 6G Wireless Network readers will also find:

• An editorial team including the original pioneers of intelligent surface technology.
• Detailed coverage of subjects including MIMO, terahertz, NOMA, energy harvesting, physical layer security, computing, sensing, machine learning, and more.
• Discussion of hardware design, signal processing techniques, and other critical aspects of IRS engineering.

Intelligent Surfaces Empowered 6G Wireless Network is a must for students, researchers, and working engineers looking to understand this vital aspect of the coming 6G revolution.

Table of Contents

Part I Fundamentals of IRS

Chapter 1 Introduction to Intelligent Surfaces

Chapter 2 IRS Architecture and Hardware Design

Chapter 3 On Path Loss and Channel Reciprocity of RIS-Assisted Wireless Communications

Chapter 4 Intelligent Surface Communication Design: Main Challenges and Solutions

Part II IRS for 6G Wireless Systems

Chapter 5 Overview of IRS for 6G and Industry Advance

Chapter 6 RIS-Aided Massive MIMO Antennas•

Chapter 7 Localization, Sensing, and Their Integration with RISs

Chapter 8 IRS-Aided THz Communications

Chapter 9 Joint Design of Beamforming, Phase Shifting, and Power Allocation in a Multi-cluster IRS-NOMA Network

Chapter 10 IRS-Aided Mobile Edge Computing: From Optimization to Learning

Chapter 11 Interference Nulling Using Reconfigurable Intelligent Surface

Chapter 12 Blind Beamforming for IRS Without Channel Estimation

Chapter 13 RIS in Wireless Information and Power Transfer

Chapter 14 Beamforming Design for Self-Sustainable IRS-Assisted MISO Downlink Systems

Chapter 15 Optical Intelligent Reflecting Surfaces

About the Author

Qingqing Wu, PhD, is an Associate Professor with the Department of Electronic Engineering, Shanghai Jiao Tong University, China.

Trung Q. Duong, PhD, is a Full Professor at Memorial University of Newfoundland, Canada and a Chair Professor in Telecommunications at Queen's University Belfast, UK.

Derrick Wing Kwan Ng, PhD, is an Associate Professor at the University of New South Wales, Sydney, Australia.

Robert Schober, PhD, is a Full Professor at the Institute for Digital Communications, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany.

Rui Zhang, PhD, is a Provost's Chair Professor in the Department of Electrical and Computer Engineering, National University of Singapore, Singapore.