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Intelligent unmanned air vehicles communications for public safety networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent unmanned air vehicles communications for public safety networksedited by Zeeshan Kaleem, Ishtiaq Ahmad, Trung Quang Duong.
其他作者:	Kaleem, Zeeshan.
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	xii, 214 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Drone aircraft.
電子資源:	https://doi.org/10.1007/978-981-19-1292-4
ISBN:	9789811912924$q(electronic bk.)

Intelligent unmanned air vehicles communications for public safety networks
Intelligent unmanned air vehicles communications for public safety networks[electronic resource] /edited by Zeeshan Kaleem, Ishtiaq Ahmad, Trung Quang Duong. - Singapore :Springer Nature Singapore :2022. - xii, 214 p. :ill. (some col.), digital ;24 cm. - Unmanned system technologies,2523-3742. - Unmanned system technologies..

Intelligent Unmanned Air Vehicles for Public Safety Networks: Emerging Technologies and Research Directions -- UAV Placement and Resource Management in Public Safety Networks: An Overview -- 3D Unmanned Aerial Vehicle Placement for Public Safety Communications -- Power-Efficient UAV Placement in Relay Assisted Heterogeneous Public Safety Networks -- Location Prediction and Trajectory Optimization in Multi-UAV Application Missions -- UAV Trajectory Optimization and Choice for UAV Placement for Data Collection in Beyond 5G Networks -- Enhancing UAV-based Public Safety Networks with Reconfigurable Intelligent Surfaces -- UAVs Path Planning by Particle Swarm Optimization based on Visual-SLAM Algorithm -- UAV-assisted Cooperative Routing Scheme for Dense Vehicular Ad hoc Network.

This book provides a comprehensive overview of the potential use cases and intelligent technologies, UAV layered architectures, research findings, experimental results, and standardization for intelligent UAV communications for public safety networks. This book will cover the conventional non-intelligent and intelligent solutions specifically targeting UAV communications for public safety networks. Moreover, reconfigurable intelligent surface (RIS) has recently attracted researchers and academician attention because its ability improves the propagation environment and enhances communication quality by intelligently reflecting the received signals. Leveraging intelligence into RIS-assisted UAV communications will meet the requirements of the intelligent, green, and sustainable 5G and beyond cellular networks, which makes it a potential candidate to overcome the inherent drawbacks of legacy wireless systems. The topics covered in this book will be of interest to both the professionals and students. 3D UAV placements schemes, trajectory design, interference management schemes, reinforcement learning solutions for more intelligent and trained solutions, joint UAV trajectory and RIS's passive beamforming design, and various other related topics of readers' interest are presented in detail.

ISBN: 9789811912924$q(electronic bk.)

Standard No.: 10.1007/978-981-19-1292-4doiSubjects--Topical Terms:

337979
Drone aircraft.

LC Class. No.: TL685.35 / .I57 2022

Dewey Class. No.: 629.13339

Intelligent unmanned air vehicles communications for public safety networks
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520 $a This book provides a comprehensive overview of the potential use cases and intelligent technologies, UAV layered architectures, research findings, experimental results, and standardization for intelligent UAV communications for public safety networks. This book will cover the conventional non-intelligent and intelligent solutions specifically targeting UAV communications for public safety networks. Moreover, reconfigurable intelligent surface (RIS) has recently attracted researchers and academician attention because its ability improves the propagation environment and enhances communication quality by intelligently reflecting the received signals. Leveraging intelligence into RIS-assisted UAV communications will meet the requirements of the intelligent, green, and sustainable 5G and beyond cellular networks, which makes it a potential candidate to overcome the inherent drawbacks of legacy wireless systems. The topics covered in this book will be of interest to both the professionals and students. 3D UAV placements schemes, trajectory design, interference management schemes, reinforcement learning solutions for more intelligent and trained solutions, joint UAV trajectory and RIS's passive beamforming design, and various other related topics of readers' interest are presented in detail.
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