Intelligent Reconfigurable Surfaces (Irs) for Prospective 6g Wireless Networks

Authoritative resource covering preliminary concepts and advanced concerns in the field of IRS and its role in 6G wireless systems

Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks provides an in-depth treatment of the fundamental physics behind reconfigurable metasurfaces, also known as intelligent reflecting surfaces (IRS), and outlines the research roadmap towards their development as a low-complexity and energy-efficient solution aimed at turning the wireless environment into a software-defined entity.

The text demonstrates IRS from different angles, including the underlying physics, hardware architecture, operating principles, and prototype designs. It enables readers to grasp the knowledge of the interplay of IRS and state-of-the-art technologies, examining the advantages, key principles, challenges, and potential use-cases. Practically, it equips readers with the fundamental knowledge of the operational principles of reconfigurable metasurfaces, resulting in its potential applications in various intelligent, autonomous future wireless communication technologies.

To aid in reader comprehension, around 50 figures, tables, illustrations, and photographs to comprehensively present the material are also included.

Edited by a team of highly qualified professionals in the field, sample topics covered are as follows:

• Evolution of antenna arrays design, introducing the fundamental principles of antenna theory and reviewing the stages of development of the field;
• Beamforming design for IRS-assisted communications, discussing optimal IRS configuration in conjunction with overviewing novel beamforming designs;
• Reconfigurable metasurfaces from physics to applications, discussing the working principles of tunable/reconfigurable metasurfaces and their capabilities and functionalities;
• IRS hardware architectures, detailing the general hardware architecture of IRS and features related to the IRS's main operational principle;
• Wireless communication systems assisted by IRS, discussing channel characterization, system integration, and aspects related to the performance analysis and network optimization of state-of-the-art wireless applications.

For students and engineers in wireless communications, microwave engineering, and radio hardware and design, Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks serves as an invaluable resource on the subject and is a useful course accompaniment for general Antenna Theory, Microwave Engineering, Electromagnetics courses.

「智能可重組表面（IRS）對未來6G無線網絡的應用」是一本權威的資源，涵蓋了IRS在6G無線系統中的初步概念和高級問題。本書深入探討了可重組介面（也稱為智能反射表面）背後的基本物理原理，並概述了將其發展為低複雜度和節能解決方案的研究路線，旨在將無線環境轉變為軟件定義實體。

本書從不同角度展示了IRS，包括基本物理原理、硬件架構、工作原理和原型設計。它使讀者能夠瞭解IRS與最先進技術的相互作用，探討其優勢、關鍵原則、挑戰和潛在應用案例。從實際角度出發，它為讀者提供了可重組介面操作原理的基本知識，從而在各種智能、自主的未來無線通信技術中應用。

為了幫助讀者理解，本書還包括約50個圖片、表格、插圖和照片，全面呈現了相關材料。

本書由該領域的高資歷專業人士編輯，涵蓋的主題包括：

- 天線陣列設計的演進，介紹天線理論的基本原則，並回顧該領域的發展階段；
- IRS輔助通信的波束成形設計，討論最佳IRS配置，並概述新穎的波束成形設計；
- 從物理到應用的可重組介面，討論可調節/可重組介面的工作原理、能力和功能；
- IRS硬件架構，詳細介紹IRS的一般硬件架構和與IRS主要操作原理相關的特性；
- IRS輔助的無線通信系統，討論信道特性、系統集成以及與最先進無線應用的性能分析和網絡優化相關的方面。

對於無線通信、微波工程和無線電硬件設計的學生和工程師來說，《智能可重組表面（IRS）對未來6G無線網絡的應用》是一本寶貴的資源，也是一門有用的課程輔助教材，適用於一般的天線理論、微波工程和電磁學課程。

Muhammad Ali Imran, Professor of Communication Systems at the University of Glasgow, UK, Dean University of Glasgow UESTC and Head of Communications, Sensing and Imaging Group.

Lina Mohjazi, Lecturer, with the James Watt School of Engineering, University of Glasgow, UK.

Lina Bariah, Research Scientist, with the KU Center for Cyber-Physical Systems, Khalifa University, Abu Dhabi, UAE, and with the James Watt School of Engineering, University of Glasgow, UK.

Sami Muhaidat, Professor, with the KU Center for Cyber-Physical Systems, Khalifa University, Abu Dhabi, UAE.

Tie Jun Cui, Chief Professor of Southeast University, Nanjing, China.

Qammer H. Abbasi, Reader with the James Watt School of Engineering and Deputy Head for Communication Sensing and Imaging Group, University of Glasgow, UK.

穆罕默德·阿里·伊姆蘭（Muhammad Ali Imran），英國格拉斯哥大學（University of Glasgow）通信系統教授，格拉斯哥大學UESTC校長和通信、感知和成像小組負責人。

莉娜·莫哈吉（Lina Mohjazi），英國格拉斯哥大學詹姆斯·瓦特工程學院講師。

莉娜·巴里亞（Lina Bariah），阿布扎比哈利法大學（Khalifa University）物理系研究科學家，同時也在英國格拉斯哥大學詹姆斯·瓦特工程學院任職。

薩米·穆哈伊達特（Sami Muhaidat），阿布扎比哈利法大學（Khalifa University）物理系教授。

崔鐵軍（Tie Jun Cui），東南大學（Southeast University）首席教授，中國南京。

卡默爾·H·阿巴西（Qammer H. Abbasi），英國格拉斯哥大學詹姆斯·瓦特工程學院讀者，通信、感知和成像小組副負責人。