Simultaneously Transmitting and Reflecting Surfaces for Wireless Communications
暫譯: 無線通信的同時傳輸與反射表面
Liu, Yuanwei, Mu, Xidong, Xu, Jiaqi
- 出版商: Springer
- 出版日期: 2024-12-07
- 售價: $6,600
- 貴賓價: 9.5 折 $6,270
- 語言: 英文
- 頁數: 214
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031768477
- ISBN-13: 9783031768477
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相關分類:
Wireless-networks
海外代購書籍(需單獨結帳)
商品描述
This book begins with discussing the fundamentals of Simultaneously Transmitting and Reflecting Surfaces (STARS) from the electromagnetic (EM) and communication perspectives. The basic signal and channel models for employing STARS in wireless communications is introduced as well. Then, the different categories and possible hardware implementation of STARS are highlighted. Next, the authors focus on attention to the STARS-aided wireless communications. The authors provide a comprehensive performance analysis of STARS with the outage probability, diversity gain and power scaling laws. Moreover, the operating protocols and corresponding beamforming design of STARS are discussed under different phase-shift models.
As a further advance, the application of machine learning tools in STAR-aided wireless communications is introduced for addressing the beamforming design and resource allocation problems. The novel STARS-aided integrated sensing and communications (ISAC) in future wireless networks are also discussed with several case studies. Within this book, readers will find an extensive exploration of the STARS concept. The content encompasses a thorough survey of STARS research, covering principles, implementation, performance evaluation and applications. By presenting a comprehensive review of the STARS family, this book serves as a valuable resource for gaining insight into the complete pipeline of STARS research. Finally, the authors conclude the book by highlighting several future research directions for STARS.
This book targets graduate, undergraduate, and postgraduate students as well as researchers working in wireless communications. Wireless communication engineers in industry and government will also want to purchase this book.
商品描述(中文翻譯)
本書首先從電磁(EM)和通信的角度討論同時傳輸與反射表面(STARS)的基本原理。接著介紹了在無線通信中使用STARS的基本信號和通道模型。然後,強調了STARS的不同類別及其可能的硬體實現。接下來,作者專注於STARS輔助的無線通信。作者提供了STARS的綜合性能分析,包括中斷概率、多樣性增益和功率縮放法則。此外,還討論了在不同相位移模型下STARS的操作協議和相應的波束形成設計。
作為進一步的發展,本書介紹了機器學習工具在STARS輔助無線通信中的應用,以解決波束形成設計和資源分配問題。未來無線網絡中新穎的STARS輔助集成感知與通信(ISAC)也通過幾個案例研究進行了討論。在本書中,讀者將深入探索STARS的概念。內容涵蓋了STARS研究的全面調查,包括原則、實現、性能評估和應用。通過對STARS家族的綜合回顧,本書成為獲取STARS研究完整流程的寶貴資源。最後,作者總結本書,強調了STARS的幾個未來研究方向。
本書的目標讀者為研究無線通信的研究生、本科生及研究人員。業界和政府的無線通信工程師也會希望購買本書。
作者簡介
Yuanwei Liu has been a (tenured) full Professor in Department of Electrical and Electronic Engineering (EEE) at The University of Hong Kong (HKU) since September, 2024. His research interests include non-orthogonal multiple access, reconfigurable intelligent surface, integrated sensing and communications, and machine learning. He is a Fellow of the IEEE, a Fellow of AAIA, a Web of Science Highly Cited Researcher, an IEEE Communication Society Distinguished Lecturer, an IEEE Vehicular Technology Society Distinguished Lecturer, the rapporteur of ETSI Industry Specification Group on Reconfigurable Intelligent Surfaces on work item of "Multi-functional Reconfigurable Intelligent Surfaces (RIS): Modelling, Optimisation, and Operation", and the UK representative for the URSI Commission C on "Radio communication Systems and Signal Processing". He was listed as one of 35 Innovators Under 35 China in 2022 by MIT Technology Review. He received IEEE ComSoc Outstanding Young Researcher Award for EMEA in 2020. He received the 2020 IEEE Signal Processing and Computing for Communications (SPCC) Technical Committee Early Achievement Award, IEEE Communication Theory Technical Committee (CTTC) 2021 Early Achievement Award. He received IEEE ComSoc Outstanding Nominee for Best Young Professionals Award in 2021. He is the co-recipient of the 2024 IEEE Communications Society Heinrich Hertz Award, the Best Student Paper Award in IEEE VTC2022-Fall, the Best Paper Award in ISWCS 2022, the 2022 IEEE SPCC-TC Best Paper Award, the 2023 IEEE ICCT Best Paper Award, and the 2023 IEEE ISAP Best Emerging Technologies Paper Award. He serves as the Co-Editor-in-Chief of IEEE ComSoc TC Newsletter, an Area Editor of IEEE Communications Letters, an Editor of IEEE Communications Surveys & Tutorials, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Cognitive Communications and Networking, and IEEE Transactions on Communications (2018-2023). He serves as the (leading) Guest Editor for Proceedings of the IEEE on Next Generation Multiple Access, IEEE JSAC on Next Generation Multiple Access, IEEE JSTSP on Intelligent Signal Processing and Learning for Next Generation Multiple Access, and IEEE Network on Next Generation Multiple Access for 6G. He serves as the Publicity Co-Chair for IEEE VTC 2019-Fall, the Panel Co-Chair for IEEE WCNC 2024, Symposium Co-Chair for several flagship conferences such as IEEE GLOBECOM, ICC and VTC. He serves the academic Chair for the Next Generation Multiple Access Emerging Technology Initiative, vice chair of SPCC and Technical Committee on Cognitive Networks (TCCN).
Xidong Mu has been a lecturer (an assistant professor) with the Centre for Wireless Innovation (CWI), Queen's University Belfast, U.K. since August 2024. His research interests include non-orthogonal multiple access (NOMA), reconfigurable intelligent surface aided communications, integrated sensing and communications, semantic communications, and optimization theory. He received the IEEE ComSoc Outstanding Young Researcher Award for EMEA region in 2023, the Exemplary Reviewer Certificate of the IEEE Transactions on Communications in 2020 and 2022, and the IEEE Communication Letters in 2021-2023. He is the recipient of the 2024 IEEE Communications Society Heinrich Hertz Award, the Best Paper Award in ISWCS 2022, the 2022 IEEE SPCC-TC Best Paper Award, and the Best Student Paper Award in IEEE VTC2022-Fall. He serves as the Public Engagement and Social Networks Coordinator of IEEE ComSoC SPCC Technical Committee, the secretary of the IEEE ComSoc Next Generation Multiple Access (NGMA) Emerging Technology Initiative and the Special Interest Group (SIG) in SPCC Technical Committee on Signal Processing Techniques for NGMA. He also serves as an Editor of IEEE Transactions on Communications, a Guest Editor for IEEE Transactions on Cognitive Communications and Networking} Special Issue on "Machine Learning and Intelligent Signal Processing for Near-Field Technologies", IEEE Internet of Things Journal Special Issue on "Next Generation Multiple Access for Internet-of-Things", the NGMA workshop co-chairs of IEEE WCNC 2023, IEEE PIMRC 2023, and IEEE GLOBECOM 2023, and the "Mobile and Wireless Networks" symposium co-chair of IEEE GLOBECOM 2025. Jiaqi Xu received his B.S. degree in Physics and Computer Science from Peking University, China. He received his Ph.D. degree in Electrical Engineering from Queen Mary University of London, U.K. He joins University of California, Irvine as a postdoctoral scholar in 2023. His research interests mainly focus on the cross section between physics and wireless communication. Junshan Zhang is a professor in the ECE Department at University of California Davis. He received his Ph.D. degree from the School of ECE at Purdue University in Aug. 2000, and was on the faculty of the School of ECEE at Arizona State University from 2000 to 2021. His research interests fall in the general field of information networks and data science, including edge AI, reinforcement learning, continual learning, network optimization and control, game theory, with applications in connected and automated vehicles, 5G and beyond, wireless networks, Internet of Things (IoT), and smart grid. Prof. Zhang is a Fellow of the IEEE, and a recipient of the ONR Young Investigator Award in 2005 and the NSF CAREER award in 2003. He received the IEEE Wireless Communication Technical Committee Recognition Award in 2016. His papers have won a few awards, including the Best Student paper at WiOPT 2018, the Kenneth C. Sevcik Outstanding Student Paper Award of ACM SIGMETRICS/IFIP Performance 2016, the Best Paper Runner-up Award of IEEE INFOCOM 2009 and IEEE INFOCOM 2014, and the Best Paper Award at IEEE ICC 2008 and ICC 2017. Building on his research findings, he co-founded Smartiply Inc in 2015, an edge Computing startup company delivering boosted network connectivity and embedded artificial intelligence for IoT applications. He served as Editor-in-chief for IEEE Transactions on Wireless Communication during 2019--2022.作者簡介(中文翻譯)
劉元偉自2024年9月起擔任香港大學(HKU)電子工程系(EEE)的(終身)正教授。他的研究興趣包括非正交多重接入、可重構智能表面、集成感測與通信以及機器學習。他是IEEE的會士、AAIA的會士、Web of Science的高被引研究者、IEEE通信學會的傑出講者、IEEE車輛技術學會的傑出講者、ETSI可重構智能表面產業規範小組的報告員,負責「多功能可重構智能表面(RIS):建模、優化與操作」的工作項目,以及英國代表URSI C委員會,專注於「無線通信系統與信號處理」。他於2022年被《MIT Technology Review》列為35位35歲以下創新者之一。他於2020年獲得IEEE通信學會EMEA區域的傑出青年研究者獎。2020年,他獲得IEEE信號處理與通信(SPCC)技術委員會的早期成就獎,2021年獲得IEEE通信理論技術委員會(CTTC)的早期成就獎。他於2021年獲得IEEE通信學會最佳青年專業人士獎的傑出提名。他是2024年IEEE通信學會海因里希·赫茨獎的共同獲得者,IEEE VTC2022-Fall的最佳學生論文獎,ISWCS 2022的最佳論文獎,2022年IEEE SPCC-TC最佳論文獎,2023年IEEE ICCT最佳論文獎,以及2023年IEEE ISAP最佳新興技術論文獎。他擔任IEEE通信學會技術委員會通訊的共同主編,IEEE通信快報的區域編輯,IEEE通信調查與教程、IEEE無線通信期刊、IEEE車輛技術期刊、IEEE網絡科學與工程期刊、IEEE認知通信與網絡期刊,以及IEEE通信期刊(2018-2023)的編輯。他擔任《IEEE會議錄》上下一代多重接入的(主導)客座編輯,IEEE JSAC上下一代多重接入的客座編輯,IEEE JSTSP上針對下一代多重接入的智能信號處理與學習的客座編輯,以及IEEE Network上針對6G的下一代多重接入的客座編輯。他擔任IEEE VTC 2019-Fall的公關共同主席,IEEE WCNC 2024的專題小組共同主席,以及多個旗艦會議如IEEE GLOBECOM、ICC和VTC的研討會共同主席。他擔任下一代多重接入新興技術倡議的學術主席,SPCC和認知網絡技術委員會(TCCN)的副主席。
穆西東自2024年8月起擔任英國貝爾法斯特女王大學無線創新中心(CWI)的講師(助理教授)。他的研究興趣包括非正交多重接入(NOMA)、可重構智能表面輔助通信、集成感測與通信、語義通信以及優化理論。他於2023年獲得IEEE通信學會EMEA區域的傑出青年研究者獎,並於2020年和2022年獲得IEEE通信期刊的優秀審稿人證書,以及2021-2023年獲得IEEE通信快報的優秀審稿人證書。他是2024年IEEE通信學會海因里希·赫茨獎的獲得者,ISWCS 2022的最佳論文獎,2022年IEEE SPCC-TC最佳論文獎,以及IEEE VTC2022-Fall的最佳學生論文獎。他擔任IEEE通信學會SPCC技術委員會的公共參與與社交網絡協調員,IEEE通信學會下一代多重接入(NGMA)新興技術倡議的秘書,以及SPCC技術委員會中針對NGMA的信號處理技術的特別興趣小組(SIG)的秘書。他還擔任IEEE通信期刊的編輯,IEEE認知通信與網絡期刊的客座編輯,專題為「近場技術的機器學習與智能信號處理」,IEEE物聯網期刊的專題為「物聯網的下一代多重接入」,以及IEEE WCNC 2023、IEEE PIMRC 2023和IEEE GLOBECOM 2023的NGMA研討會共同主席,還擔任IEEE GLOBECOM 2025的「移動與無線網絡」研討會共同主席。
徐家琦於中國北京大學獲得物理與計算機科學的學士學位,並於英國倫敦瑪麗女王大學獲得電氣工程的博士學位。他於2023年加入加州大學爾灣分校擔任博士後研究員。他的研究興趣主要集中在物理與無線通信的交叉領域。
張俊山是加州大學戴維斯分校電子與計算機工程系的教授。他於2000年8月在普渡大學電子與計算機工程學院獲得博士學位,並於2000年至2021年在亞利桑那州立大學電子與計算機工程學院任教。他的研究興趣涵蓋信息網絡和數據科學的一般領域,包括邊緣AI、強化學習、持續學習、網絡優化與控制、博弈論,應用於連接和自動化車輛、5G及以後的技術、無線網絡、物聯網(IoT)和智能電網。張教授是IEEE的會士,並於2005年獲得ONR青年研究者獎和2003年NSF CAREER獎。他於2016年獲得IEEE無線通信技術委員會的表彰獎。他的論文獲得多項獎項,包括2018年WiOPT最佳學生論文獎、2016年ACM SIGMETRICS/IFIP Performance的Kenneth C. Sevcik傑出學生論文獎、2009年和2014年IEEE INFOCOM最佳論文亞軍獎,以及2008年和2017年IEEE ICC最佳論文獎。基於他的研究成果,他於2015年共同創立了Smartiply Inc,一家邊緣計算初創公司,提供增強的網絡連接和嵌入式人工智能以應用於物聯網。他於2019年至2022年擔任IEEE無線通信期刊的主編。