LEADER 06212nam 22006975 450 001 9910349288503321 005 20251225195105.0 010 $a3-030-25748-7 024 7 $a10.1007/978-3-030-25748-4 035 $a(CKB)4100000008959029 035 $a(DE-He213)978-3-030-25748-4 035 $a(MiAaPQ)EBC5926848 035 $a(PPN)248602500 035 $a(EXLCZ)994100000008959029 100 $a20190810d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCognitive Radio-Oriented Wireless Networks $e14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11?12, 2019, Proceedings /$fedited by Adrian Kliks, Pawe? Kryszkiewicz, Faouzi Bader, Dionysia Triantafyllopoulou, Carlos E. Caicedo, Aydin Sezgin, Nikos Dimitriou, Micha? Sybis 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XI, 410 p. 243 illus., 166 illus. in color.) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v291 300 $aIncludes index. 311 08$a3-030-25747-9 327 $aPoMeS: Profit-Maximizing Sensor Selection for Crowd-Sensed Spectrum Discovery -- Tenant-Aware Slice Admission Control using Neural Networks-Based Policy Agent Main Track -- Novel Filter Bank Based Cooperative Spectrum Sensing under RF Impairments and Channel Fading Beyond 5G Cognitive Radios -- Performance Evaluation of Windowing Based Energy Detector in Multipath and Multi-Signal Scenarios -- Transmitter Classification With Supervised Deep Learning -- Preferential Radar Method for Dynamic Assignment of Wi-Fi Channels -- Tactical radio operator?s combat readiness as context information for dynamic spectrum management within military mobile ad hoc networks -- Dynamic Placement Algorithm for MultipleClasses of Mobile Base Stations in Public SafetyNetworks -- Spectrum analysis using semantic models for context -- Margin-based Active Online Learning Techniques for Cooperative Spectrum Sharing in CR Networks -- On the Feasibility of a Secondary Service Transmission Over an Existent Satellite Infrastructure -- Cooperative Delay-Constrained Cognitive Radio Networks: Throughput Maximization With Full-Duplex Capability Impact -- Radio Environment Maps for Military Cognitive Networks: Density of Sensor Network vs. Map Quality -- An Out-of-Sample Extension for Wireless Multipoint Channel Charting -- Machine Learning based RATs Selection supporting Multi-Connectivity for Reliability -- Spectrum-agile Cognitive Interference Avoidance through Deep Reinforcement Learning -- Localization techniques for 5G Radio Environment Maps -- A Hybrid Chain based Incentive Mechanism for Resource Leasing in NDN -- Reinforcement Learning-based Radio Access Network Slicing for a 5G System with Support for Cellular V2X -- Assessment of Spectrum Management Approaches to Private Industrial Networks -- Unlocking the Potential of QoS-Aware Pricing under the Licensed Shared Access Regime -- Location dependent spectrum valuation of private LTE and 5G networks in Europe -- Spectrum allocation options for point-to-multipoint services in 5G -- Wireless Network Virtualization with Long-Term Device-to-Device Communication -- Assessing the Feasibility of the Citizens Broadband Radio Service Concept for the Private Industrial Internet of Things Networks -- Wrkshop on Open Radio Platforms for 5G Research and Beyond -- Enhanced Resource Management for Web Based Thin Clients Using Cross-Platform Progressive Offline Capabilities -- Stabilized Distributed Layered Grant-Free NOMA for mMTC -- 5G CrowdCell with mm-Wave SDR Based Backhaul -- Performance Analysis of Full Duplex Wireless Multi-Hop Networks. 330 $aThis book constitutes the refereed proceedings of the 14th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019, held in Poznan, Poland, in June 2019. The 30 revised full papers were selected from 48 submissions and present a large scope of research topic also covering IoT in 5G and how cognitive mechanisms shall help leveraging access for numerous devices; mmWave and how specific propagation and operation in these bands bring new sharing mechanisms ; how resource allocation amongst bands (including offload mechanisms) shall be solved. The key focus will be on how rich data analysis can improve the delivery of above defined services. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v291 606 $aComputer networks 606 $aData structures (Computer science) 606 $aInformation theory 606 $aMachine learning 606 $aComputer Communication Networks 606 $aData Structures and Information Theory 606 $aMachine Learning 615 0$aComputer networks. 615 0$aData structures (Computer science). 615 0$aInformation theory. 615 0$aMachine learning. 615 14$aComputer Communication Networks. 615 24$aData Structures and Information Theory. 615 24$aMachine Learning. 676 $a621.382 676 $a621.382 702 $aKliks$b Adrian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKryszkiewicz$b Pawe?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBader$b Faouzi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTriantafyllopoulou$b Dionysia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCaicedo$b Carlos E$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSezgin$b Aydin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDimitriou$b Nikos$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSybis$b Micha?$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349288503321 996 $aCognitive Radio Oriented Wireless Networks$92205536 997 $aUNINA