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Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond

  • Hongliang Zhang
  • Lingyang Song
  • Zhu Han

Part of the Wireless Networks book series (WN)

Table of contents

  1. Front Matter
    Pages i-x
  2. Hongliang Zhang, Lingyang Song, Zhu Han
    Pages 1-25
  3. Hongliang Zhang, Lingyang Song, Zhu Han
    Pages 27-60
  4. Hongliang Zhang, Lingyang Song, Zhu Han
    Pages 61-100
  5. Hongliang Zhang, Lingyang Song, Zhu Han
    Pages 101-221

About this book

Introduction

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 joint sensing and communication protocols, develop novel beamforming and estimation algorithms, and study efficient distributed resource optimization methods.

This book targets signal processing engineers, computer and information scientists, applied mathematicians and statisticians, as well as systems engineers to carve out the role that analytical and experimental engineering has to play in UAV research and development. Undergraduate students, industry managers, government research agency workers and general readers interested in the fields of communications and networks will also want to read this book.

Keywords

UAV Machine learning data offloading trajectory design reinforcement learning deep learning load balance resource allocation power control UAV-to-X communications cooperative UAV IoTs

Authors and affiliations

  • Hongliang Zhang
    • 1
  • Lingyang Song
    • 2
  • Zhu Han
    • 3
  1. 1.School of Electrical Engineering and Computer SciencePeking UniversityBeijingChina
  2. 2.School of Electrical Engineering and Computer SciencePeking UniversityBeijingChina
  3. 3.Department of Electrical and Computer EngineeringUniversity of HoustonHoustonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-33039-2
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-33038-5
  • Online ISBN 978-3-030-33039-2
  • Series Print ISSN 2366-1186
  • Series Online ISSN 2366-1445
  • Buy this book on publisher's site
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