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In this thesis low complexity physical layer cooperative communication schemes are investigated to improve the spectral efficiency, the scalability and the coverage range of mobile ad hoc networks (MANETs). Specifically, we investigate cooperative broadcasting and provide an accurate coverage prediction to it, introduce leakage based beam shaping to increase the transmission range of virtual antenna arrays, while the signal in undesired directions is suppressed, and propose simple resource allocation schemes for quantize-and-forward receive cooperation. We provide theoretical analysis and numerical evaluations of these schemes and investigate their performance, respectively the performance of combinations thereof, in two different scenarios: military MANETs and urban traffic hotspots with ultra high user density. In addition to the cooperative communication schemes, we investigate the relation between the applied transmit power and the resulting interference power at unintended users in leakage based precoding, a promising multi-user MIMO precoding approach. Based on these investigations, we propose a target rate precoding as well as a rate optimal precoding, and provide a quasi closed-form solution for both.
Technology. --- Ad hoc networks (Computer networks). --- MANETs (Computer networks) --- Mobile ad hoc networks --- Wireless ad hoc networks --- Computer networks --- Wireless communication systems --- Applied science --- Arts, Useful --- Science, Applied --- Useful arts --- Science --- Industrial arts --- Material culture --- Cooperative communication --- Physical layer --- Virtual antenna array --- High density --- Ad hoc networks (Computer networks)
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UAVs are becoming a reality and attract increasing attention. They can be remotely controlled or completely autonomous and be used alone or as a fleet and in a large set of applications. They are constrained by hardware since they cannot be too heavy and rely on batteries. Their use still raises a large set of exciting new challenges in terms of trajectory optimization and positioning when they are used alone or in cooperation, and communication when they evolve in swarm, to name but a few examples. This book presents some new original contributions regarding UAV or UAV swarm optimization and communication aspects.
Information technology industries --- direction-of-arrival estimation --- unmanned aerial vehicles --- UAV swarm --- aperiodic arrays --- MUSIC --- Cramer–Rao bound --- stochastic system --- configuration control --- multiplicative noises --- dynamic model --- stochastic robustness analysis and design --- wireless sensor networks --- unmanned aerial vehicle --- mission completion time --- trajectory planning --- UAV secure communication --- secrecy rate maximization --- jamming --- trajectory design --- power control --- sensors --- data collection utility --- GPS measurement --- UAV --- 3D models --- measurement precision --- unmanned aerial vehicle (UAV) --- cooperative communication --- topology structure --- complex field network coding (CFNC) --- edge computing --- internet of things --- mobile robots --- resource allocation --- control co-design --- data offloading --- UAV-enabled computing --- resource-based pricing --- risk-awareness --- multi-access edge computing systems --- UAV fleet --- energy consumption --- self-organization --- algorithms --- optimization --- UAV replacement --- multiple unmanned aerial vehicles --- mobile nodes --- data collection --- collision-free --- synchronized multi-agent formation --- decentralized sliding mode control --- drones --- wireless --- swarm --- communication
Choose an application
UAVs are becoming a reality and attract increasing attention. They can be remotely controlled or completely autonomous and be used alone or as a fleet and in a large set of applications. They are constrained by hardware since they cannot be too heavy and rely on batteries. Their use still raises a large set of exciting new challenges in terms of trajectory optimization and positioning when they are used alone or in cooperation, and communication when they evolve in swarm, to name but a few examples. This book presents some new original contributions regarding UAV or UAV swarm optimization and communication aspects.
direction-of-arrival estimation --- unmanned aerial vehicles --- UAV swarm --- aperiodic arrays --- MUSIC --- Cramer–Rao bound --- stochastic system --- configuration control --- multiplicative noises --- dynamic model --- stochastic robustness analysis and design --- wireless sensor networks --- unmanned aerial vehicle --- mission completion time --- trajectory planning --- UAV secure communication --- secrecy rate maximization --- jamming --- trajectory design --- power control --- sensors --- data collection utility --- GPS measurement --- UAV --- 3D models --- measurement precision --- unmanned aerial vehicle (UAV) --- cooperative communication --- topology structure --- complex field network coding (CFNC) --- edge computing --- internet of things --- mobile robots --- resource allocation --- control co-design --- data offloading --- UAV-enabled computing --- resource-based pricing --- risk-awareness --- multi-access edge computing systems --- UAV fleet --- energy consumption --- self-organization --- algorithms --- optimization --- UAV replacement --- multiple unmanned aerial vehicles --- mobile nodes --- data collection --- collision-free --- synchronized multi-agent formation --- decentralized sliding mode control --- drones --- wireless --- swarm --- communication
Choose an application
UAVs are becoming a reality and attract increasing attention. They can be remotely controlled or completely autonomous and be used alone or as a fleet and in a large set of applications. They are constrained by hardware since they cannot be too heavy and rely on batteries. Their use still raises a large set of exciting new challenges in terms of trajectory optimization and positioning when they are used alone or in cooperation, and communication when they evolve in swarm, to name but a few examples. This book presents some new original contributions regarding UAV or UAV swarm optimization and communication aspects.
Information technology industries --- direction-of-arrival estimation --- unmanned aerial vehicles --- UAV swarm --- aperiodic arrays --- MUSIC --- Cramer–Rao bound --- stochastic system --- configuration control --- multiplicative noises --- dynamic model --- stochastic robustness analysis and design --- wireless sensor networks --- unmanned aerial vehicle --- mission completion time --- trajectory planning --- UAV secure communication --- secrecy rate maximization --- jamming --- trajectory design --- power control --- sensors --- data collection utility --- GPS measurement --- UAV --- 3D models --- measurement precision --- unmanned aerial vehicle (UAV) --- cooperative communication --- topology structure --- complex field network coding (CFNC) --- edge computing --- internet of things --- mobile robots --- resource allocation --- control co-design --- data offloading --- UAV-enabled computing --- resource-based pricing --- risk-awareness --- multi-access edge computing systems --- UAV fleet --- energy consumption --- self-organization --- algorithms --- optimization --- UAV replacement --- multiple unmanned aerial vehicles --- mobile nodes --- data collection --- collision-free --- synchronized multi-agent formation --- decentralized sliding mode control --- drones --- wireless --- swarm --- communication
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