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008			221203s2022 si | s |0|| 0|eng d
020			_a9789811912924
024	7		_a10.1007/978-981-19-1292-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL685.35 _b2022 EB
245	0	0	_aIntelligent Unmanned Air Vehicles Communications for Public Safety Networks _cedited by Zeeshan Kaleem, Ishtiaq Ahmad, Trung Quang Duong
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 214 páginas) _b73 ilustraciones, 67 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	1		_aUnmanned System Technologies _x2523-3742
505	0		_aIntelligent 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.
520			_aThis 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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9667210 _aDrones _xMedidas de seguridad
700	1		_aKaleem, Zeeshan _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAhmad, Ishtiaq _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDuong, Trung Quang _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811912917
776	0	8	_iPrinted edition: _z9789811912931
776	0	8	_iPrinted edition: _z9789811912948
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-1292-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2022 _dz _eIG _zSI