1.

Record Nr.

UNINA9910366583403321

Autore

Zhang Hongliang

Titolo

Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond [[electronic resource] /] / by Hongliang Zhang, Lingyang Song, Zhu Han

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-33039-7

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (231 pages)

Collana

Wireless Networks, , 2366-1186

Disciplina

621.38456

Soggetti

Wireless communication systems

Mobile communication systems

Electrical engineering

Computer organization

Wireless and Mobile Communication

Communications Engineering, Networks

Computer Systems Organization and Communication Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1 Overview of 5G and Beyond Communications -- 2 Basic Theoretical Background -- 3 UAV Assisted Cellular Communications -- 4 Cellular Assisted UAV Sensing. .

Sommario/riassunto

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.