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Titlebook: Propagation Characterization and Channel Modeling for UAV Communications; Lu Bai,Ziwei Huang,Xiang Cheng Book 2024 The Editor(s) (if appli

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書(shū)目名稱Propagation Characterization and Channel Modeling for UAV Communications
編輯Lu Bai,Ziwei Huang,Xiang Cheng
視頻videohttp://file.papertrans.cn/762/761282/761282.mp4
概述A systematic book on the Unmanned Aerial Vehicle (UAV) propagation characterization and channel modeling.Provides key approaches for channel modeling on timespace-frequency non-stationary algorithm wi
叢書(shū)名稱Wireless Networks
圖書(shū)封面Titlebook: Propagation Characterization and Channel Modeling for UAV Communications;  Lu Bai,Ziwei Huang,Xiang Cheng Book 2024 The Editor(s) (if appli
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. The authors fill in this void by elaborating accurate yet easy-to-use UAV channel models. The authors also present such topics as propagation characteristics of? UAV communications, a time stationary regular-shaped geometry-based stochastic model (RS-GBSM) for UAV narrowband channels. It also introduces 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 and more. 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 matures 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 f
出版日期Book 2024
關(guān)鍵詞Channel modeling; Wireless Networks; UAV Communications; Wide Band; space-time; propagation characteristi
版次1
doihttps://doi.org/10.1007/978-3-031-57503-7
isbn_softcover978-3-031-57505-1
isbn_ebook978-3-031-57503-7Series ISSN 2366-1186 Series E-ISSN 2366-1445
issn_series 2366-1186
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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