IEEE Transactions on Cognitive Communications and Networking

Papers
(The TQCC of IEEE Transactions on Cognitive Communications and Networking is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities406
Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing208
Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer167
Cognition in UAV-Aided 5G and Beyond Communications: A Survey148
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks143
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks138
Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks With Limited Communication Capability115
Collaborative Learning of Communication Routes in Edge-Enabled Multi-Access Vehicular Environment112
Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning110
RFAL: Adversarial Learning for RF Transmitter Identification and Classification99
Dynamic Spectrum Interaction of UAV Flight Formation Communication With Priority: A Deep Reinforcement Learning Approach86
QoS Prediction for Service Recommendation With Features Learning in Mobile Edge Computing Environment84
Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks81
Beyond Cell-Free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-Free MIMO Communications80
Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information78
An Intelligent Anomaly Detection Scheme for Micro-Services Architectures With Temporal and Spatial Data Analysis70
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments66
UAV-Assisted Wireless Energy and Data Transfer With Deep Reinforcement Learning66
Robust Secure Beamforming for Wireless Powered Cognitive Satellite-Terrestrial Networks63
Deep Reinforcement Learning-Based Spectrum Allocation in Integrated Access and Backhaul Networks62
Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks With NOMA60
A Software Defined Radio Cross-Layer Resource Allocation Approach for Cognitive Radio Networks: From Theory to Practice59
Fast-Convergent Federated Learning With Adaptive Weighting57
Intelligent Traffic Adaptive Resource Allocation for Edge Computing-Based 5G Networks56
Deep Reinforcement Learning for Dynamic Spectrum Sensing and Aggregation in Multi-Channel Wireless Networks54
Channel Estimation Method and Phase Shift Design for Reconfigurable Intelligent Surface Assisted MIMO Networks54
Joint Transmit Beamforming and Phase Shift Design for Reconfigurable Intelligent Surface Assisted MIMO Systems50
Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System50
5G New Radio Unlicensed: Challenges and Evaluation48
Deep Learning Based End-to-End Wireless Communication Systems Without Pilots47
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing With Heterogeneous Learning Tasks46
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing45
End-to-End Performance-Based Autonomous VNF Placement With Adopted Reinforcement Learning44
Handover Management for mmWave Networks With Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning43
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs43
Secure and Energy Efficient Transmission for IRS-Assisted Cognitive Radio Networks43
NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems43
DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer42
Lightweight Deep Learning Based Intelligent Edge Surveillance Techniques42
Delay-Aware VNF Scheduling: A Reinforcement Learning Approach With Variable Action Set42
Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition41
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective41
Robust Beamforming Design for Intelligent Reflecting Surface Aided Cognitive Radio Systems With Imperfect Cascaded CSI40
A Reinforcement Learning Method for Joint Mode Selection and Power Adaptation in the V2V Communication Network in 5G40
Channel Estimation Approach for RIS Assisted MIMO Systems40
Weighted Sum-Rate Maximization for Multi-IRS-Assisted Full-Duplex Systems With Hardware Impairments39
Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks39
Downlink CSI Feedback Algorithm With Deep Transfer Learning for FDD Massive MIMO Systems38
Secrecy Outage Analysis of UAV Assisted Relay and Antenna Selection for Cognitive Network Under Nakagami-${m}$ Channel38
Throughput Maximization With Energy Harvesting in UAV-Assisted Cognitive Mobile Relay Networks37
Two-Layer Game Based Resource Allocation in Cloud Based Integrated Terrestrial-Satellite Networks36
Open Set Wireless Transmitter Authorization: Deep Learning Approaches and Dataset Considerations36
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning36
A Novel Spectrum Sharing Scheme Using Dynamic Long Short-Term Memory With CP-OFDMA in 5G Networks34
OFDM-Guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels34
On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems34
Lightweight Automatic Modulation Classification Based on Decentralized Learning34
Shared Spectrum Monitoring Using Deep Learning34
A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surfaces With Practical Phase Shifts34
Primary Privacy Preserving With Joint Wireless Power and Information Transfer for Cognitive Radio Networks33
Combined RF-Based Drone Detection and Classification33
Balancing Energy Consumption and Reputation Gain of UAV Scheduling in Edge Computing32
Exploiting FD/HD Cooperative-NOMA in Underlay Cognitive Hybrid Satellite-Terrestrial Networks32
Dynamic Resource Scaling for VNF Over Nonstationary Traffic: A Learning Approach32
Hybrid Beamforming for Multi-Carrier Dual-Function Radar-Communication System32
Delay-Constrained Joint Power Control, User Detection and Passive Beamforming in Intelligent Reflecting Surface-Assisted Uplink mmWave System31
Cooperative Hybrid Nonorthogonal Multiple Access-Based Mobile-Edge Computing in Cognitive Radio Networks31
Fine-Grained Management in 5G: DQL Based Intelligent Resource Allocation for Network Function Virtualization in C-RAN31
NOMA-Based Multi-User Mobile Edge Computation Offloading via Cooperative Multi-Agent Deep Reinforcement Learning30
Applications of Auction and Mechanism Design in Edge Computing: A Survey29
Intelligent Optimization of Availability and Communication Cost in Satellite-UAV Mobile Edge Caching System With Fault-Tolerant Codes28
A Robust Deep Learning-Based Beamforming Design for RIS-Assisted Multiuser MISO Communications With Practical Constraints28
Unsupervised Linear and Nonlinear Channel Equalization and Decoding Using Variational Autoencoders27
Rate Splitting on Mobile Edge Computing for UAV-Aided IoT Systems27
Secure Federated Learning by Power Control for Internet of Drones27
Resource Allocation and Trajectory Design in UAV-Assisted Jamming Wideband Cognitive Radio Networks26
Opportunistic Utilization of Dynamic Multi-UAV in Device-to-Device Communication Networks26
Licensed and Unlicensed Spectrum Management for Cognitive M2M: A Context-Aware Learning Approach26
Joint D2D Assignment, Bandwidth and Power Allocation in Cognitive UAV-Enabled Networks25
Joint Energy and Trajectory Optimization for UAV-Enabled Relaying Network With Multi-Pair Users24
Visualizing Deep Learning-Based Radio Modulation Classifier24
Beam Management in Ultra-Dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach24
SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition24
Performance of Adaptive Multi-User Underlay NOMA Transmission With Simple User Selection23
UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation23
Design of Communication Systems Using Deep Learning: A Variational Inference Perspective22
Machine Learning-Assisted Beam Alignment for mmWave Systems22
An Artificial Intelligence Framework for Slice Deployment and Orchestration in 5G Networks22
SigNet: A Novel Deep Learning Framework for Radio Signal Classification22
A Secure Spectrum Handoff Mechanism in Cognitive Radio Networks22
Federated Learning Over Noisy Channels: Convergence Analysis and Design Examples22
Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach21
Coordinated Beamforming for UAV-Aided Millimeter-Wave Communications Using GPML-Based Channel Estimation21
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification21
Autoencoder Neural Network Based Intelligent Hybrid Beamforming Design for mmWave Massive MIMO Systems21
Edge Device Identification Based on Federated Learning and Network Traffic Feature Engineering21
Joint Buffer-Aided Hybrid-Duplex Relay Selection and Power Allocation for Secure Cognitive Networks With Double Deep Q-Network21
Intelligent Joint Network Slicing and Routing via GCN-Powered Multi-Task Deep Reinforcement Learning20
Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning20
Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning20
Deep Learning Based Power Optimizing for NOMA Based Relay Aided D2D Transmissions20
Measuring Sparsity of Wireless Channels20
Signal Modulation Classification Based on the Transformer Network19
Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains With Mobile Edge Computing19
Double Auction Mechanism for Resource Allocation in Satellite MEC19
A PHY Layer Security Analysis of Uplink Cooperative Jamming-Based Underlay CRNs With Multi-Eavesdroppers19
Fast Q-Learning for Improved Finite Length Performance of Irregular Repetition Slotted ALOHA19
A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks19
Delay Optimization in Mobile Edge Computing: Cognitive UAV-Assisted eMBB and mMTC Services19
A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G19
Adaptive Bitrate Video Transmission Over Cognitive Radio Networks Using Cross Layer Routing Approach18
A Dual-Function Massive MIMO Uplink OFDM Communication and Radar Architecture18
Active Learning for Network Traffic Classification: A Technical Study18
Q-Learning-Based Spectrum Access for Multimedia Transmission Over Cognitive Radio Networks18
Learning-Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems18
Spectrum Resource Allocation Based on Cooperative NOMA With Index Modulation18
STBC: A Novel Blockchain-Based Spectrum Trading Solution18
Resource Allocation in Cognitive Radio-Enabled UAV Communication17
Intelligent Service Migration Based on Hidden State Inference for Mobile Edge Computing17
Deep Reinforcement Learning Optimal Transmission Algorithm for Cognitive Internet of Things With RF Energy Harvesting17
Crowdsourced Wireless Spectrum Anomaly Detection17
Data-Aware Device Scheduling for Federated Edge Learning17
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control17
Toward Joint Learning of Optimal MAC Signaling and Wireless Channel Access17
A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO17
Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks With Uncertainty17
Radio Resource Management Approaches for Reliable Device-to-Device (D2D) Communication in Wireless Industrial Applications16
RIS Configuration, Beamformer Design, and Power Control in Single-Cell and Multi-Cell Wireless Networks16
Average Peak Age of Information Analysis for Wireless Powered Cooperative Networks16
Regional Super Cluster Based Optimum Channel Selection for CR-VANET16
Intelligent Reflecting Surfaces and Spectrum Sensing for Cognitive Radio Networks16
An Adaptive Network Data Collection System in SDN16
UAV-Aided Aerial Reconfigurable Intelligent Surface Communications With Massive MIMO System16
On Joint Offloading and Resource Allocation: A Double Deep Q-Network Approach16
Physical-Layer Security on Maximal Ratio Combining for SIMO Cognitive Radio Networks Over Cascaded κ-μ Fading Channels16
Learning-Based Handover in Mobile Millimeter-Wave Networks15
Distributed Resource Allocation for SWIPT-Based Cognitive Ad-Hoc Networks15
Exploiting Error-Correction-CRC for Polar SCL Decoding: A Deep Learning-Based Approach15
Sparse Array Selection Across Arbitrary Sensor Geometries With Deep Transfer Learning15
Series-Constellation Feature Based Blind Modulation Recognition for Beyond 5G MIMO-OFDM Systems With Channel Fading15
Transfer Learning for Tilt-Dependent Radio Map Prediction15
Channel Estimation Enhancement With Generative Adversarial Networks14
A PHY Layer Security of a Jamming-Based Underlay Cognitive Satellite-Terrestrial Network14
Airport Connectivity Optimization for 5G Ultra-Dense Networks14
Radio Environment Map Construction Based on Spatial Statistics and Bayesian Hierarchical Model14
A Fair and Cooperative MAC Protocol for Heterogeneous Cognitive Radio Enabled Vehicular Ad-Hoc Networks14
Outage Analysis of Cognitive Electric Vehicular Networks Over Mixed RF/VLC Channels14
WiST ID—Deep Learning-Based Large Scale Wireless Standard Technology Identification14
SDATP: An SDN-Based Traffic-Adaptive and Service-Oriented Transmission Protocol14
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks13
Load Balancing for Distributed Intelligent Edge Computing: A State-Based Game Approach13
Improving Energy Efficiency and QoS of LPWANs for IoT Using Q-Learning Based Data Routing13
Artificial Intelligence Empowered QoS-Oriented Network Association for Next-Generation Mobile Networks13
Cooperative Edge Computing of Data Analytics for the Internet of Things13
A Hybrid Architecture for Federated and Centralized Learning13
Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach13
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