Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking

• Andere auteurs: Deruyck, Margot (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Onderwerpen: Technology: general issues; History of engineering & technology; unmanned aerial vehicle; UAV positioning; machine learning; wireless communications; drones; network; DTN; mobility schedule; routing algorithms; data delivery; Internet of drones; communication; security; privacy; UAV base station; MIMO; millimeter-wave band; blind beamforming; signal recovery; UAV relay networks; resource management; transmit time allocation; unmanned aerial vehicles; dynamic spectrum access; quality of service; reinforcement learning; multi-armed bandit; aerial communication; FANET; not-spots; stratospheric communication platform; UAV; UAV-assisted network; 5G; global positioning system; GPS spoofing attacks; detection techniques; dynamic selection; hyperparameter tuning; IoT; RF radio communication; Wi-Fi direct; D2D; drone-based mobile secure zone; friendly jamming; mobility; internet of things; non-orthogonal multiple access; resource allocation; ultra reliable low latency communication; uplink transmission; Deep Q-learning (DQL); Double Deep Q-learning (DDQL); dynamic spectrum sharing; High Altitude Platform Station (HAPS); cellular communications; power control; interference management; cognitive UAV networks; clustered two-stage-fusion cooperative spectrum sensing; continuous hidden Markov model; SNR estimation; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

The emerging massive density of human-held and machine-type nodes implies larger traffic deviatiolns in the future than we are facing today. In the future, the network will be characterized by a high degree of flexibility, allowing it to adapt smoothly, autonomously, and efficiently to the quickly c...