Cognitive Radio-Oriented Wireless Networks : 14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11–12, 2019, Proceedings / / edited by Adrian Kliks, Paweł Kryszkiewicz, Faouzi Bader, Dionysia Triantafyllopoulou, Carlos E. Caicedo, Aydin Sezgin, Nikos Dimitriou, Michał Sybis

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (XI, 410 p. 243 illus., 166 illus. in color.)
• Disciplina: 621.382
• Soggetto topico: Computer communication systems; Data structures (Computer science); Machine learning; Computer Communication Networks; Data Structures and Information Theory; Machine Learning
• Persona (resp. second.): KliksAdrian; KryszkiewiczPaweł; BaderFaouzi; TriantafyllopoulouDionysia; CaicedoCarlos E; SezginAydin; DimitriouNikos; SybisMichał
• Note generali: Includes index.
• Nota di contenuto: PoMeS: 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.
• Sommario/riassunto: This 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.
• Titolo autorizzato: Cognitive Radio Oriented Wireless Networks
• ISBN: 3-030-25748-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910349288503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, . 1867-8211 ; ; 291