Intelligent Reconfigurable Surfaces (Irs) for Prospective 6g Wireless Networks
暫譯: 未來 6G 無線網路的智能可重構表面 (IRS)

Imran, Muhammad Ali, Mohjazi, Lina, Bariah, Lina

  • 出版商: Wiley
  • 出版日期: 2023-01-19
  • 定價: $4,120
  • 售價: 8.5$3,502
  • 語言: 英文
  • 頁數: 304
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119875250
  • ISBN-13: 9781119875253
  • 相關分類: Wireless-networks
  • 立即出貨 (庫存=1)

相關主題

商品描述

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.

商品描述(中文翻譯)

智慧可重構表面 (IRS) 於未來 6G 無線網路

權威資源涵蓋 IRS 領域的初步概念和進階問題,以及其在 6G 無線系統中的角色

智慧可重構表面 (IRS) 於未來 6G 無線網路 深入探討可重構超表面的基本物理學,這些超表面也被稱為智慧反射表面 (IRS),並概述了其發展的研究路線圖,旨在將無線環境轉變為一個軟體定義的實體,作為一種低複雜度和節能的解決方案。

本書從不同角度展示 IRS,包括其基本物理學、硬體架構、操作原理和原型設計。它使讀者能夠理解 IRS 與尖端技術之間的相互作用,檢視其優勢、關鍵原則、挑戰和潛在應用案例。實際上,它為讀者提供了可重構超表面的操作原理的基本知識,從而使其在各種智慧、自主的未來無線通信技術中具有潛在應用。

為了幫助讀者理解,書中還包含約 50 幅圖表、插圖和照片,以全面呈現材料。

由一組高素質的專業團隊編輯,涵蓋的示例主題如下:


  • 天線陣列設計的演變,介紹天線理論的基本原則並回顧該領域的發展階段;
  • IRS 輔助通信的波束形成設計,討論最佳的 IRS 配置並概述新穎的波束形成設計;
  • 從物理到應用的可重構超表面,討論可調/可重構超表面的工作原理及其能力和功能;
  • IRS 硬體架構,詳細說明 IRS 的一般硬體架構及與 IRS 主要操作原理相關的特徵;
  • 由 IRS 輔助的無線通信系統,討論通道特徵、系統整合以及與尖端無線應用的性能分析和網路優化相關的各個方面。

對於無線通信、微波工程以及無線硬體和設計的學生和工程師來說,智慧可重構表面 (IRS) 於未來 6G 無線網路 是該主題的寶貴資源,並且是一般天線理論、微波工程和電磁學課程的有用補充。

作者簡介

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.

作者簡介(中文翻譯)

穆罕默德·阿里·伊姆蘭(Muhammad Ali Imran),英國格拉斯哥大學(University of Glasgow)通信系教授,格拉斯哥大學UESTC院長及通信、感測與影像組組長。

莉娜·莫哈賈茲(Lina Mohjazi),英國格拉斯哥大學詹姆斯·瓦特工程學院(James Watt School of Engineering)講師。

莉娜·巴里亞(Lina Bariah),阿布達比哈利法大學(Khalifa University)網絡物理系研究科學家,並於英國格拉斯哥大學詹姆斯·瓦特工程學院任職。

薩米·穆海達特(Sami Muhaidat),阿布達比哈利法大學網絡物理系教授。

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

卡默·H·阿巴西(Qammer H. Abbasi),英國格拉斯哥大學詹姆斯·瓦特工程學院講師及通信、感測與影像組副組長。