IEEE Transactions on Cognitive Communications and Networking

Title Publication Date Language Citations
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors2018/09/0110
QoS Prediction for Service Recommendation With Features Learning in Mobile Edge Computing Environment2020/12/0110
Deep Reinforcement Learning for Intelligent Internet of Vehicles: An Energy-Efficient Computational Offloading Scheme2019/12/017
A Very Brief Introduction to Machine Learning With Applications to Communication Systems2018/12/015
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities2020/09/015
Deep Learning-Based Channel Estimation Algorithm Over Time Selective Fading Channels2020/03/014
A Secure Spectrum Handoff Mechanism in Cognitive Radio Networks2020/09/013
Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing2021/03/013
Energy-Efficient Resource Allocation for Energy Harvesting-Based Cognitive Machine-to-Machine Communications2019/09/013
Cognitive FDA-MIMO With Channel Uncertainty Information for Target Tracking2019/12/013
Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks2019/06/013
Adaptive Bitrate Video Transmission Over Cognitive Radio Networks Using Cross Layer Routing Approach2020/09/013
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs2022/12/013
Deep Learning Classification of 3.5-GHz Band Spectrograms With Applications to Spectrum Sensing2019/06/013
DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer2021/03/013
Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks With Limited Communication Capability2021/06/013
Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer2021/03/013
Improving Energy Efficiency and QoS of LPWANs for IoT Using Q-Learning Based Data Routing2022/03/012
Beam Management in Ultra-Dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach2023/02/012
Location Privacy in Cognitive Radios With Multi-Server Private Information Retrieval2019/12/012
Shared Spectrum Monitoring Using Deep Learning2021/12/012
Market-Based Model in CR-IoT: A Q-Probabilistic Multi-Agent Reinforcement Learning Approach2020/03/012
A Software Defined Radio Cross-Layer Resource Allocation Approach for Cognitive Radio Networks: From Theory to Practice2020/06/012
A Hybrid Model-Based and Data-Driven Approach to Spectrum Sharing in mmWave Cellular Networks2020/12/012
Two-Layer Game Based Resource Allocation in Cloud Based Integrated Terrestrial-Satellite Networks2020/06/012
Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning2021/09/012
Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System2021/09/012
Reinforcement Learning-Based Vehicle-Cell Association Algorithm for Highly Mobile Millimeter Wave Communication2019/12/012
Deep Reinforcement Learning-Based Mobility-Aware Robust Proactive Resource Allocation in Heterogeneous Networks2020/03/012
On Residual Energy Maximization in DF Cognitive Radio Networks With Multiple Eavesdroppers2020/06/012