Spectrum Sensing and Environment Awareness -- Active user blind detection through deep learning -- Spectrum Sensing Based on Dynamic Primary User With Additive Laplacian Noise in Cognitive Radio -- Blind Source Separation for Wireless Networks: a Tool for Topology Sensing -- Efficient Clustering Schemes Towards Information Collection -- A Non-zero Sum Power Control Game with Uncertainty -- Demonstrating Spectrally Efficient Asynchronous Coexistence for Machine Type Communication: A Software Defined Radio Approach -- 7 Distance Estimation for Database-assisted Autonomous Platooning -- A priced-Deferred Acceptance (p-DA) Technique for D2D Communication in Factories of the Future -- Data-Driven Intelligent Management of Energy Constrained Autonomous Vehicles in Smart Cities -- A Primer on Large Intelligent Surface (LIS) in an Industrial Setting -- Scalability and Replicability of Spectrum for Private 5G Network Business: Insights into Radio Authorization Policies -- Novel Spectrum Administration and Management -- Approaches Transform 5G Towards Open Ecosystemic Business Models -- Moving from 5G in Verticals to Sustainable 6G: Business, Regulatory and Technical Research Prospects.

This book constitutes the refereed proceedings of the 15th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2020, held in Rome, Italy, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 13 revised full papers were selected from 28 submissions and present all major technical aspects related to cognitive radio and networks. The papers are organized in four sessions: spectrum sensing and environment awareness; resource sharing and optimization; verticals and applications; business models and spectrum management.