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Titlebook: Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond; Hongliang Zhang,Lingyang Song,Zhu Han Book 2020 The Editor(

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發(fā)表于 2025-3-21 19:36:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond
編輯Hongliang Zhang,Lingyang Song,Zhu Han
視頻videohttp://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(shū)名稱(chēng)Wireless Networks
圖書(shū)封面Titlebook: Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond;  Hongliang Zhang,Lingyang Song,Zhu Han Book 2020 The Editor(
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(guān)鍵詞UAV; Machine learning; data offloading; trajectory design; reinforcement learning; deep learning; load bal
版次1
doihttps://doi.org/10.1007/978-3-030-33039-2
isbn_softcover978-3-030-33041-5
isbn_ebook978-3-030-33039-2Series 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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UAV Assisted Cellular Communications,ations. This type of applications can be referred to as .. UAV assisted cellular communications have numerous use cases, including traffic offloading, wireless backhauling, swift service recovery after natural disasters, emergency response, rescue and search, information dissemination/broadcasting,
地板
發(fā)表于 2025-3-22 04:54:54 | 只看該作者
Cellular Assisted UAV Sensing,k completion time minimization problem in a cooperative cellular Internet of UAVs in Sect. 4.2. To improve the communication quality in the cellular Internet of UAVs, we propose UAV-to-everything (U2X) communications in Sect. 4.3. In Sect. 4.4, we investigate the decentralized trajectory design prob
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Cellular Assisted UAV Sensing,nternet of UAVs, we propose UAV-to-everything (U2X) communications in Sect. 4.3. In Sect. 4.4, we investigate the decentralized trajectory design problem for cellular Internet of UAVs. Finally, we present an application of cellular Internet of UAVs for air quality index (AQI) monitoring.
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發(fā)表于 2025-3-22 20:22:36 | 只看該作者
2366-1186 ns from both academia and industrial sides.Introduces the keThis 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 pow
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發(fā)表于 2025-3-22 21:12:16 | 只看該作者
Overview of 5G and Beyond Communications,tion Nikolos et al. (IEEE Trans Syst Man Cybern B Cybern 33:898–912, 2003) and autonomy Wang et al., (IEEE Trans Control Syst Technol 15:672–679, 2007), as it is motivated by the military oriented applications. In contrast, this book will focus on sensing, communication, and learning for UAV applications over future cellular networks.
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