| 書目名稱 | Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond | | 編輯 | Hongliang Zhang,Lingyang Song,Zhu Han | | 視頻video | http://file.papertrans.cn/943/942365/942365.mp4 | | 概述 | Provides an introduction to the UAV paradigm, from 5G and beyond communication perspective, which currently has attracted plenty of attentions from both academia and industrial sides.Introduces the ke | | 叢書名稱 | Wireless Networks | | 圖書封面 |  | | 描述 | This book discusses how to plan the time-variant placements of the UAVs served as base station (BS)/relay, which is very challenging due to the complicated 3D propagation environments, as well as many other practical constraints such as power and flying speed. Spectrum sharing with existing cellular networks is also investigated in this book. The emerging unmanned aerial vehicles (UAVs) have been playing an increasing role in the military, public, and civil applications. To seamlessly integrate UAVs into future cellular networks, this book will cover two main scenarios of UAV applications as follows. The first type of applications can be referred to as UAV Assisted Cellular Communications..Second type of application is to exploit UAVs for sensing purposes, such as smart agriculture, security monitoring, and traffic surveillance. Due to the limited computation capability of UAVs, the real-time sensory data needs to be transmitted to the BS for real-time data processing.? The cellular networks are necessarily committed to support the data transmission for UAVs, which the authors refer to as Cellular assisted UAV Sensing. To support real-time sensing streaming, the authors design join | | 出版日期 | Book 2020 | | 關鍵詞 | UAV; Machine learning; data offloading; trajectory design; reinforcement learning; deep learning; load bal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-33039-2 | | isbn_softcover | 978-3-030-33041-5 | | isbn_ebook | 978-3-030-33039-2Series ISSN 2366-1186 Series E-ISSN 2366-1445 | | issn_series | 2366-1186 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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