Reconfigurable Intelligent Surface-Empowered 6g
暫譯: 可重構智慧表面驅動的6G

Zhang, Hongliang, Di, Boya, Song, Lingyang

Reconfigurable Intelligent Surface-Empowered 6g
  • 出版商: Springer
  • 出版日期: 2021-05-30
  • 售價: $7,920
  • 貴賓價: 9.5 折 $7,524
  • 語言: 英文
  • 頁數: 251
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030734986
  • ISBN-13: 9783030734985

    • 海外代購書籍(需單獨結帳)

商品描述

This book presents novel RIS-Based Smart Radio techniques, targeting at achieving high-quality channel links in cellular communications via design and optimization of the RIS construction. Unlike traditional antenna arrays, three unique characteristics of the RIS will be revealed in this book. First, the built-in programmable configuration of the RIS enables analog beamforming inherently without extra hardware or signal processing. Second, the incident signals can be controlled to partly reflect and partly transmit through the RIS simultaneously, adding more flexibility to signal transmission. Third, the RIS has no digital processing capability to actively send signals nor any radio frequency (RF) components. As such, it is necessary to develop novel channel estimation and communication protocols, design joint digital and RIS-based analog beamforming schemes and perform interference control via mixed reflection and transmission. This book also investigates how to integrate the RIS to legacy communication systems.
RIS techniques are further investigated in this book (benefited from its ability to actively shape the propagation environment) to achieve two types of wireless applications, i.e., RF sensing and localization. The influence of the sensing objectives on the wireless signal propagation can be potentially recognized by the receivers, which are then utilized to identify the objectives in RF sensing. Unlike traditional sensing techniques, RIS-aided sensing can actively customize the wireless channels and generate a favorable massive number of independent paths interacting with the sensing objectives. It is desirable to design RIS-based sensing algorithms, and optimize RIS configurations. For the second application, i.e., RIS aided localization, an RIS is deployed between the access point (AP) and users. The AP can then analyze reflected signals from users via different RIS configurations to obtain accurate locations of users. However, this is a challenging task due to the dynamic user topology, as well as the mutual influence between multiple users and the RIS. Therefore, the operations of the RIS, the AP, and multiple users need to be carefully coordinated. A new RIS-based localization protocol for device cooperation and an RIS configuration optimization algorithm are also required.
This book targets researchers and graduate-level students focusing on communications and networks. Signal processing engineers, computer and information scientists, applied mathematicians and statisticians, who work in RIS research and development will also find this book useful.

商品描述(中文翻譯)

本書介紹了新穎的基於反射式智能表面（RIS）的無線電技術，旨在通過設計和優化RIS的結構來實現行動通信中的高品質信道連接。與傳統天線陣列不同，本書將揭示RIS的三個獨特特性。首先，RIS內建的可編程配置使其能夠固有地進行類比波束成形，而無需額外的硬體或信號處理。其次，入射信號可以同時被控制為部分反射和部分透過RIS傳輸，為信號傳輸增添了更多的靈活性。第三，RIS不具備主動發送信號的數位處理能力，也不包含任何無線頻率（RF）元件。因此，有必要開發新穎的信道估計和通信協議，設計聯合數位和基於RIS的類比波束成形方案，並通過混合反射和傳輸進行干擾控制。本書還探討了如何將RIS整合到傳統通信系統中。

本書進一步研究了RIS技術（利用其主動塑造傳播環境的能力）以實現兩種類型的無線應用，即RF感測和定位。感測目標對無線信號傳播的影響可以被接收器潛在識別，然後用於識別RF感測中的目標。與傳統感測技術不同，RIS輔助的感測可以主動自定義無線通道，並生成大量獨立的路徑與感測目標互動。設計基於RIS的感測算法並優化RIS配置是非常理想的。對於第二個應用，即RIS輔助定位，RIS被部署在接入點（AP）和用戶之間。AP可以通過不同的RIS配置分析來自用戶的反射信號，以獲得用戶的準確位置。然而，由於用戶拓撲的動態性以及多個用戶與RIS之間的相互影響，這是一項具有挑戰性的任務。因此，RIS、AP和多個用戶的操作需要仔細協調。還需要一種新的基於RIS的定位協議以促進設備合作，以及一種RIS配置優化算法。

本書的目標讀者是專注於通信和網絡的研究人員和研究生。從事RIS研究和開發的信號處理工程師、計算機和信息科學家、應用數學家和統計學家也會發現本書的價值。

作者簡介

Hongliang Zhang (S'15-M'19) received the B.S. and Ph.D. degrees at the School of Electrical Engineering and Computer Science at Peking University, in 2014 and 2019, respectively. He was a Postdoctoral Fellow in the Electrical and Computer Engineering Department at the University of Houston, Texas from Jul. 2019 to Jul. 2020. Currently, he is a Postdoctoral Associate in the Department of Electrical Engineering at Princeton University, New Jersey. His current research interest includes reconfigurable intelligent surfaces, aerial access networks, and game theory. He received the best doctoral thesis award from Chinese Institute of Electronics in 2019. He is an exemplary reviewer for IEEE Transactions on Communications in 2020. He has served as a TPC Member for many IEEE conferences, such as Globecom, ICC, and WCNC. He is currently an Editor for IET Communications and Frontiers in Signal Processing. He also serves as a Guest Editor for IEEE IoT-J special issue on Internet of UAVs over Cellular Networks.

Boya Di (S'17-M'19) received the B.S. degree in electronic engineering from Peking University, in 2014, and the Ph.D. degree from the Department of Electronics, Peking University, China, in 2019. She currently works as a Post-Doctoral Researcher with Imperial College London. Her research interests include reconfigurable intelligent surfaces, multi-agent systems, and edge computing. One of her journal papers is currently listed as ESI highly cited articles. She serves as an Associate Editor of the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY.

Lingyang Song (S'03-M'06-SM'12-F'19) received his PhD from the University of York, UK, in 2007, where he received the K. M. Stott Prize for excellent research. He worked as a research fellow at the University of Oslo, Norway until rejoining Philips Research UK in March 2008. In May 2009, he joined the School of Electronics Engineering and Computer Science, Peking University, and is now a Boya Distinguished Professor. His main research interests include wireless communications, mobile computing, and machine learning. Dr. Song is the co-author of many awards, including IEEE Leonard G. Abraham Prize in 2016, IEEE ICC 2014, IEEE ICC 2015, IEEE GlobeCom 2014, and the best demo award in the ACM Mobihoc 2015. Dr. Song received National Science Fund for Distinguished Young Scholars in 2017, First Prize in Nature Science Award of Ministry of Education of China in 2017. Dr. Song has served as a Distinguished Lecturer of IEEE Communications Society (2015-2018), an Area Editor of IEEE Transactions on Vehicular Technology (2019-), Co-chair of IEEE Communications Society Asia Pacific Board Technical Affairs Committee (2020-). Dr. Song is a Clarivate Analytics Highly Cited Researcher.

Zhu Han (S'01-M'04-SM'09-F'14) received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a Professor in Electrical and Computer Engineering Department as well as Computer Science Department at the University of Houston, Texas. His research interests include wireless resource allocation and management, wireless communications and networking, game theory, wireless multimedia, security, and smart grid communication. Dr. Han received an NSF Career Award in 2010, the Fred W. Ellersick Prize of the IEEE Communication Society in 2011, the EURASIP Best Paper Award for the Journal on Advances in Signal Processing in 2015, and several best paper awards in IEEE conferences. Dr. Han is top 1% highly cited researcher according to Web of Science since 2017, and AAAS fellow since 2019.


作者簡介(中文翻譯)

洪亮 張 (S'15-M'19) 於2014年和2019年分別在北京大學電氣工程與計算機科學學院獲得學士和博士學位。他於2019年7月至2020年7月在德克薩斯州休斯頓大學電氣與計算機工程系擔任博士後研究員。目前，他是新澤西州普林斯頓大學電氣工程系的博士後助理。他目前的研究興趣包括可重構智能表面、空中接入網絡和博弈論。他於2019年獲得中國電子學會最佳博士論文獎。2020年，他被評為IEEE通訊學報的優秀審稿人。他曾擔任多個IEEE會議的技術程序委員會成員，如Globecom、ICC和WCNC。目前，他是IET Communications和Frontiers in Signal Processing的編輯。他還擔任IEEE IoT-J關於無人機在蜂窩網絡上互聯網的特刊的客座編輯。

狄博雅 (S'17-M'19) 於2014年在北京大學獲得電子工程學士學位，並於2019年在北京大學電子系獲得博士學位。她目前在倫敦帝國學院擔任博士後研究員。她的研究興趣包括可重構智能表面、多智能體系統和邊緣計算。她的一篇期刊論文目前被列為ESI高引用文章。她擔任IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY的副編輯。

宋凌揚 (S'03-M'06-SM'12-F'19) 於2007年在英國約克大學獲得博士學位，並因卓越的研究獲得K. M. Stott獎。他曾在挪威奧斯陸大學擔任研究員，直到2008年3月重新加入飛利浦研究（Philips Research UK）。2009年5月，他加入北京大學電子工程與計算機科學學院，現為博雅特聘教授。他的主要研究興趣包括無線通信、移動計算和機器學習。宋博士是多項獎項的共同作者，包括2016年IEEE Leonard G. Abraham獎、IEEE ICC 2014、IEEE ICC 2015、IEEE GlobeCom 2014以及2015年ACM Mobihoc最佳演示獎。宋博士於2017年獲得國家優秀青年科學基金，並於2017年獲得中國教育部自然科學獎一等獎。宋博士曾擔任IEEE通訊學會的特聘講師（2015-2018）、IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY的區域編輯（2019-至今）、IEEE通訊學會亞太區技術事務委員會的共同主席（2020-至今）。宋博士是Clarivate Analytics的高被引研究者。

韓 朱 (S'01-M'04-SM'09-F'14) 於1997年在清華大學獲得電子工程學士學位，並於1999年和2003年在馬里蘭大學（College Park）獲得電氣工程碩士和博士學位。2000年至2002年，他在馬里蘭州的JDSU擔任研發工程師。2003年至2006年，他在馬里蘭大學擔任研究助理。2006年至2008年，他在愛達荷州的博伊西州立大學擔任助理教授。目前，他是德克薩斯州休斯頓大學電氣與計算機工程系及計算機科學系的教授。他的研究興趣包括無線資源分配與管理、無線通信與網絡、博弈論、無線多媒體、安全性和智能電網通信。韓博士於2010年獲得NSF職業獎，2011年獲得IEEE通訊學會的Fred W. Ellersick獎，2015年獲得EURASIP信號處理進展期刊的最佳論文獎，以及多個IEEE會議的最佳論文獎。自2017年以來，韓博士根據Web of Science被列為前1%的高被引研究者，並自2019年起成為美國科學促進會（AAAS）會士。

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