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dc.contributor.editorDeruyck, Margot
dc.date.accessioned2022-08-12T12:43:17Z
dc.date.available2022-08-12T12:43:17Z
dc.date.issued2022
dc.identifierONIX_20220812_9783036546636_6
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/91127
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherunmanned aerial vehicle
dc.subject.otherUAV positioning
dc.subject.othermachine learning
dc.subject.otherwireless communications
dc.subject.otherdrones
dc.subject.othernetwork
dc.subject.otherDTN
dc.subject.othermobility schedule
dc.subject.otherrouting algorithms
dc.subject.otherdata delivery
dc.subject.otherInternet of drones
dc.subject.othercommunication
dc.subject.othersecurity
dc.subject.otherprivacy
dc.subject.otherUAV base station
dc.subject.otherMIMO
dc.subject.othermillimeter-wave band
dc.subject.otherblind beamforming
dc.subject.othersignal recovery
dc.subject.otherUAV relay networks
dc.subject.otherresource management
dc.subject.othertransmit time allocation
dc.subject.otherunmanned aerial vehicles
dc.subject.otherdynamic spectrum access
dc.subject.otherquality of service
dc.subject.otherreinforcement learning
dc.subject.othermulti-armed bandit
dc.subject.otheraerial communication
dc.subject.otherFANET
dc.subject.othernot-spots
dc.subject.otherstratospheric communication platform
dc.subject.otherUAV
dc.subject.otherUAV-assisted network
dc.subject.other5G
dc.subject.otherglobal positioning system
dc.subject.otherGPS spoofing attacks
dc.subject.otherdetection techniques
dc.subject.otherdynamic selection
dc.subject.otherhyperparameter tuning
dc.subject.otherIoT
dc.subject.otherRF radio communication
dc.subject.otherWi-Fi direct
dc.subject.otherD2D
dc.subject.otherdrone-based mobile secure zone
dc.subject.otherfriendly jamming
dc.subject.othermobility
dc.subject.otherinternet of things
dc.subject.othernon-orthogonal multiple access
dc.subject.otherresource allocation
dc.subject.otherultra reliable low latency communication
dc.subject.otheruplink transmission
dc.subject.otherDeep Q-learning (DQL)
dc.subject.otherDouble Deep Q-learning (DDQL)
dc.subject.otherdynamic spectrum sharing
dc.subject.otherHigh Altitude Platform Station (HAPS)
dc.subject.othercellular communications
dc.subject.otherpower control
dc.subject.otherinterference management
dc.subject.othercognitive UAV networks
dc.subject.otherclustered two-stage-fusion cooperative spectrum sensing
dc.subject.othercontinuous hidden Markov model
dc.subject.otherSNR estimation
dc.subject.othern/a
dc.titleUnmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-4664-3
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036546636
oapen.relation.isbn9783036546643
oapen.pages264
oapen.place.publicationBasel


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