TY - BOOK ID - 145043843 TI - Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Technology: general issues KW - History of engineering & technology KW - unmanned aerial vehicle KW - UAV positioning KW - machine learning KW - wireless communications KW - drones KW - network KW - DTN KW - mobility schedule KW - routing algorithms KW - data delivery KW - Internet of drones KW - communication KW - security KW - privacy KW - UAV base station KW - MIMO KW - millimeter-wave band KW - blind beamforming KW - signal recovery KW - UAV relay networks KW - resource management KW - transmit time allocation KW - unmanned aerial vehicles KW - dynamic spectrum access KW - quality of service KW - reinforcement learning KW - multi-armed bandit KW - aerial communication KW - FANET KW - not-spots KW - stratospheric communication platform KW - UAV KW - UAV-assisted network KW - 5G KW - global positioning system KW - GPS spoofing attacks KW - detection techniques KW - dynamic selection KW - hyperparameter tuning KW - IoT KW - RF radio communication KW - Wi-Fi direct KW - D2D KW - drone-based mobile secure zone KW - friendly jamming KW - mobility KW - internet of things KW - non-orthogonal multiple access KW - resource allocation KW - ultra reliable low latency communication KW - uplink transmission KW - Deep Q-learning (DQL) KW - Double Deep Q-learning (DDQL) KW - dynamic spectrum sharing KW - High Altitude Platform Station (HAPS) KW - cellular communications KW - power control KW - interference management KW - cognitive UAV networks KW - clustered two-stage-fusion cooperative spectrum sensing KW - continuous hidden Markov model KW - SNR estimation KW - unmanned aerial vehicle KW - UAV positioning KW - machine learning KW - wireless communications KW - drones KW - network KW - DTN KW - mobility schedule KW - routing algorithms KW - data delivery KW - Internet of drones KW - communication KW - security KW - privacy KW - UAV base station KW - MIMO KW - millimeter-wave band KW - blind beamforming KW - signal recovery KW - UAV relay networks KW - resource management KW - transmit time allocation KW - unmanned aerial vehicles KW - dynamic spectrum access KW - quality of service KW - reinforcement learning KW - multi-armed bandit KW - aerial communication KW - FANET KW - not-spots KW - stratospheric communication platform KW - UAV KW - UAV-assisted network KW - 5G KW - global positioning system KW - GPS spoofing attacks KW - detection techniques KW - dynamic selection KW - hyperparameter tuning KW - IoT KW - RF radio communication KW - Wi-Fi direct KW - D2D KW - drone-based mobile secure zone KW - friendly jamming KW - mobility KW - internet of things KW - non-orthogonal multiple access KW - resource allocation KW - ultra reliable low latency communication KW - uplink transmission KW - Deep Q-learning (DQL) KW - Double Deep Q-learning (DDQL) KW - dynamic spectrum sharing KW - High Altitude Platform Station (HAPS) KW - cellular communications KW - power control KW - interference management KW - cognitive UAV networks KW - clustered two-stage-fusion cooperative spectrum sensing KW - continuous hidden Markov model KW - SNR estimation UR - https://www.unicat.be/uniCat?func=search&query=sysid:145043843 AB - 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 changing traffic demands both in time and space. This flexibility cannot be achieved when the network’s infrastructure remains static. To this end, the topic of UAVs (unmanned aerial vehicles) have enabled wireless communications, and networking has received increased attention. As mentioned above, the network must serve a massive density of nodes that can be either human-held (user devices) or machine-type nodes (sensors). If we wish to properly serve these nodes and optimize their data, a proper wireless connection is fundamental. This can be achieved by using UAV-enabled communication and networks. This Special Issue addresses the many existing issues that still exist to allow UAV-enabled wireless communications and networking to be properly rolled out. ER -