LEADER 04504nam 2201105z- 450 001 9910585935603321 005 20231214132923.0 035 $a(CKB)5600000000483129 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/91127 035 $a(EXLCZ)995600000000483129 100 $a20202208d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUnmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (264 p.) 311 $a3-0365-4663-4 311 $a3-0365-4664-2 330 $aThe 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. 517 $aUnmanned Aerial Vehicle 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 610 $aunmanned aerial vehicle 610 $aUAV positioning 610 $amachine learning 610 $awireless communications 610 $adrones 610 $anetwork 610 $aDTN 610 $amobility schedule 610 $arouting algorithms 610 $adata delivery 610 $aInternet of drones 610 $acommunication 610 $asecurity 610 $aprivacy 610 $aUAV base station 610 $aMIMO 610 $amillimeter-wave band 610 $ablind beamforming 610 $asignal recovery 610 $aUAV relay networks 610 $aresource management 610 $atransmit time allocation 610 $aunmanned aerial vehicles 610 $adynamic spectrum access 610 $aquality of service 610 $areinforcement learning 610 $amulti-armed bandit 610 $aaerial communication 610 $aFANET 610 $anot-spots 610 $astratospheric communication platform 610 $aUAV 610 $aUAV-assisted network 610 $a5G 610 $aglobal positioning system 610 $aGPS spoofing attacks 610 $adetection techniques 610 $adynamic selection 610 $ahyperparameter tuning 610 $aIoT 610 $aRF radio communication 610 $aWi-Fi direct 610 $aD2D 610 $adrone-based mobile secure zone 610 $afriendly jamming 610 $amobility 610 $ainternet of things 610 $anon-orthogonal multiple access 610 $aresource allocation 610 $aultra reliable low latency communication 610 $auplink transmission 610 $aDeep Q-learning (DQL) 610 $aDouble Deep Q-learning (DDQL) 610 $adynamic spectrum sharing 610 $aHigh Altitude Platform Station (HAPS) 610 $acellular communications 610 $apower control 610 $ainterference management 610 $acognitive UAV networks 610 $aclustered two-stage-fusion cooperative spectrum sensing 610 $acontinuous hidden Markov model 610 $aSNR estimation 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 700 $aDeruyck$b Margot$4edt$01278410 702 $aDeruyck$b Margot$4oth 906 $aBOOK 912 $a9910585935603321 996 $aUnmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking$93013234 997 $aUNINA