Titlebook: Cognitive Radio-Oriented Wireless Networks; 14th EAI Internation Adrian Kliks,Paweł Kryszkiewicz,Michał Sybis Conference proceedings 2019 I

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Tenant-Aware Slice Admission Control Using Neural Networks-Based Policy Agentearns to admit the most profitable slices in the network while ensuring their resource demands can be scaled elastically. We present the system model, the policy agent architecture and results from simulation study showing an increased revenue for infra-structure provider compared to other relevant

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Machine Learning Based RATs Selection Supporting Multi-connectivity for Reliability (Invited Paper)ficient MC configuration is proposed. By adopting distributed reinforcement learning (RL), each device could learn the policy for efficient MC configuration and select appropriate RATs. Simulation results show that 20.8% reliability improvements over the single connectivity scheme is observed. Compa

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Novel Filter Bank Based Cooperative Spectrum Sensing Under RF Impairments and Channel Fading Beyond waveform and filter bank based multicarrier (FBMC) waveform, respectively. Subband energies are then applied for enhanced energy detection (ED) based CSS methods. Our special focus is on sensing potential spectral gaps close to relatively strong primary users, considering also the effects of spectra

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Margin-Based Active Online Learning Techniques for Cooperative Spectrum Sharing in CR Networksor changes in a quick manner. In this regard, we briefly review the existing AL techniques and adapt them to the considered CSS based CRNs. More importantly, we propose a novel margin based active on-line learning algorithm that selects the instance to be queried and updates the classifier by using