---

This book constitutes the refereed proceedings of the 14 th 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.

---

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.

---