Propagation Characterization and Channel Modeling for Uav Communications
Bai, Lu, Huang, Ziwei, Cheng, Xiang
- 出版商: Springer
- 出版日期: 2024-05-30
- 售價: $6,480
- 貴賓價: 9.5 折 $6,156
- 語言: 英文
- 頁數: 226
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031575024
- ISBN-13: 9783031575020
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相關主題
商品描述
This book focuses on the propagation characterization and channel modeling of unmanned aerial vehicle (UAV) communications. Currently, there are no books that cover this specific topic, while the author's book aims to fill this blank in the existing literature by elaborating accurate yet easy-to-use UAV channel models. The studied topics, including propagation characteristics of UAV communications, a time stationary regular-shaped geometry-based stochastic model (RS-GBSM) for UAV narrowband channels, a time non-stationary RS-GBSM for UAV narrowband channels, a time non-stationary RS-GBSM for UAV wideband channels, a time-space non-stationary irregular-shaped geometry-based stochastic model (IS-GBSM) for UAV wideband channels, a time-space-frequency non-stationary IS-GBSM with UAV's 3D continuously arbitrary trajectory and self-rotation, a mixed-bouncing based IS-GBSM for UAV wideband channels, and a time-space-frequency non-stationary IS-GBSM with time-space consistency for UAV wideband channels, will be elaborated in this book, accompanied by insightful discussions and efficient suggestions. Finally, this book closes up with some promising directions, hoping to promote future research outcomes in the field of UAV channel modeling.
As the UAV technology gets mature rapidly, UAV communications are shifting from military development to civilian and commercial sectors. The UAV communication is widely considered as a significant and indispensable component of wireless communications. It is well known that an accurate yet easy-to-use UAV channel model is the foundation of designing a proper UAV communication system and evaluating its performance. To the authors' best knowledge, there is no book dedicated to the propagation characterization and channel modeling of UAV communications. This book remedies this situation and provide valuable suggestions for the design of UAV communication systems by adequately presenting the UAV propagation characterization and channel modeling. Though the book is dominantly written for researchers and professionals in wireless communications, advanced-level students majoring in computer science or electrical engineering may also find the content useful.
商品描述(中文翻譯)
本書專注於無人機（UAV）通信的傳播特性和通道建模。目前，尚無專門涵蓋此主題的書籍，而作者的書籍旨在填補現有文獻中的空白，通過詳細闡述準確且易於使用的UAV通道模型來實現。本書將深入探討的主題包括UAV通信的傳播特性、基於時間穩定的規則形狀幾何隨機模型（RS-GBSM）用於UAV窄帶通道、基於時間非穩定的RS-GBSM用於UAV窄帶通道、基於時間非穩定的RS-GBSM用於UAV寬帶通道、基於時間-空間非穩定的不規則形狀幾何隨機模型（IS-GBSM）用於UAV寬帶通道、基於時間-空間-頻率非穩定的IS-GBSM，考慮UAV的三維連續任意軌跡和自旋轉、基於混合彈跳的IS-GBSM用於UAV寬帶通道，以及基於時間-空間-頻率非穩定的IS-GBSM，具備時間-空間一致性用於UAV寬帶通道，並將伴隨深入的討論和有效的建議。最後，本書將以一些有前景的研究方向作結，希望能促進未來在UAV通道建模領域的研究成果。
隨著UAV技術的迅速成熟，UAV通信正從軍事開發轉向民用和商業領域。UAV通信被廣泛認為是無線通信中一個重要且不可或缺的組成部分。眾所周知，準確且易於使用的UAV通道模型是設計合適的UAV通信系統和評估其性能的基礎。據作者所知，尚無專門針對UAV通信的傳播特性和通道建模的書籍。本書彌補了這一情況，通過充分呈現UAV的傳播特性和通道建模，為UAV通信系統的設計提供了寶貴的建議。雖然本書主要針對無線通信領域的研究人員和專業人士，但主修計算機科學或電機工程的高級學生也可能會發現內容對他們有用。
作者簡介
Lu Bai received the Ph.D. degree in Information and Communication Engineering from Shandong University, China, in 2019. From 2017 to 2019, she was also a visiting Ph.D. student at Heriot-Watt University, UK. From 2019 to 2022, she was a post-doc at Beihang University, China. She is currently a professor at Shandong University. Her general research interests are in areas of wireless communications and artificial intelligence, subject on which she has published more than 30 journal and conference papers, 2 books, holds 6 patents, and participated in 4 Chinese standards. Prof. Bai is a recipient of Qilu Young Scholar Award in 2022 and Taishan Scholar Award in 2023. She has served as the member of the Technical Program Committee and session chair for several international conferences. She is currently an Associate Editor of IET Communications.
Ziwei Huang received the B.S. degree in communication engineering from Chongqing University, Chongqing, China, in 2019. He is currently working toward the Ph.D. degree with the School of Electronics, Peking University, Beijing, China. His current research interests include wireless communication channel measurements and modeling, including vehicular channel measurements and modeling, UAV channel modeling, and AI-based channel modeling.
Xiang Cheng received the Ph.D. degree jointly from Heriot-Watt University and the University of Edinburgh, Edinburgh, U.K., in 2009. He is currently a Boya Distinguished Professor of Peking University. His general research interests are in areas of channel modeling, wireless communications, and data analytics, subject on which he has published more than 280 journal and conference papers, 9 books, and holds 23 patents. Prof. Cheng is a recipient of the IEEE Asia Pacific Outstanding Young Researcher Award in 2015, a Distinguished Lecturer of IEEE Vehicular Technology Society, a Highly Cited Chinese Researcher since 2020, and Xplorer Prize 2023. He was a co-recipient of the 2016 IEEE JSAC Best Paper Award: Leonard G. Abraham Prize, and the 2021 IET Communications Best Paper Award: Premium Award. He has also received the Best Paper Awards at IEEE ITST'12, ICCC'13, ITSC'14, ICC'16, ICNC'17, GLOBECOM'18, ICCS'18, and ICC'19. He has served as the symposium lead chair, co-chair, and member of the Technical Program Committee for several international conferences. Prof. Cheng led the establishment of 3 Chinese standards (including 1 industry standard and 2 group standards) and participated in the formulation of 10 3GPP international standards and 2 Chinese industry standards. He is currently a Subject Editor of IET Communications and an Associate Editor of the IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems, IEEE Wireless Communications Letters, and the Journal of Communications and Information Networks, and is an IEEE Distinguished Lecturer. In 2021 and 2023, he was selected into two world scientist lists, including World's Top 2% Scientists released by Stanford University and Top Computer Science Scientists released by Guide2Research.
作者簡介(中文翻譯)
盧白於2019年獲得中國山東大學信息與通信工程博士學位。從2017年到2019年，她還曾在英國赫瑞瓦特大學擔任訪問博士生。2019年至2022年，她在中國北航大學擔任博士後研究員。她目前是山東大學的教授。她的研究興趣主要集中在無線通信和人工智慧領域，已發表超過30篇期刊和會議論文，出版2本書籍，擁有6項專利，並參與了4項中國標準。白教授於2022年獲得齊魯青年學者獎，2023年獲得泰山學者獎。她曾擔任多個國際會議的技術程序委員會成員及會議主席。目前，她是IET Communications的副編輯。
黃子維於2019年獲得中國重慶大學通信工程學士學位。他目前在北京大學電子學院攻讀博士學位。他的研究興趣包括無線通信通道的測量和建模，涵蓋車輛通道測量和建模、無人機通道建模以及基於人工智慧的通道建模。
程翔於2009年獲得英國赫瑞瓦特大學和愛丁堡大學的聯合博士學位。他目前是北京大學的博雅特聘教授。他的研究興趣主要集中在通道建模、無線通信和數據分析領域，已發表超過280篇期刊和會議論文，出版9本書籍，擁有23項專利。程教授於2015年獲得IEEE亞太區傑出青年研究者獎，並擔任IEEE車輛技術學會的傑出講師，自2020年以來被評為高被引中國研究者，並於2023年獲得Xplorer獎。他曾共同獲得2016年IEEE JSAC最佳論文獎：Leonard G. Abraham獎，以及2021年IET Communications最佳論文獎：優秀獎。他還在IEEE ITST'12、ICCC'13、ITSC'14、ICC'16、ICNC'17、GLOBECOM'18、ICCS'18和ICC'19等會議上獲得最佳論文獎。他曾擔任多個國際會議的研討會主席、聯合主席及技術程序委員會成員。程教授主導建立了3項中國標準（包括1項行業標準和2項團體標準），並參與了10項3GPP國際標準和2項中國行業標準的制定。目前，他是IET Communications的主題編輯，以及IEEE Transactions on Wireless Communications、IEEE Transactions on Intelligent Transportation Systems、IEEE Wireless Communications Letters和Journal of Communications and Information Networks的副編輯，並且是IEEE的傑出講師。在2021年和2023年，他被選入兩個世界科學家名單，包括斯坦福大學發布的世界前2%科學家名單和Guide2Research發布的頂尖計算機科學家名單。
