IEEE Communications Letters

Papers
(The H4-Index of IEEE Communications Letters is 53. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Blockchained On-Device Federated Learning460
A Simple Design of IRS-NOMA Transmission324
STAR-RISs: Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces185
Reconfigurable Intelligent Surface (RIS) Assisted Wireless Coverage Extension: RIS Orientation and Location Optimization165
Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems161
Sum Rate Maximization for IRS-Assisted Uplink NOMA159
Unveiling the Importance of SIC in NOMA Systems—Part 1: State of the Art and Recent Findings147
Channel Estimation for RIS Assisted Wireless Communications—Part II: An Improved Solution Based on Double-Structured Sparsity131
UWB NLOS/LOS Classification Using Deep Learning Method128
Unsupervised Learning for Passive Beamforming116
Coverage Characterization of STAR-RIS Networks: NOMA and OMA112
Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing111
Active RIS Versus Passive RIS: Which is Superior With the Same Power Budget?109
CNN-Based Automatic Modulation Classification for Beyond 5G Communications105
Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach94
Sum Rate Optimization for Two Way Communications With Intelligent Reflecting Surface93
Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing93
Channel Estimation for RIS Assisted Wireless Communications—Part I: Fundamentals, Solutions, and Future Opportunities92
Multi-Branch Deep Residual Learning for Clustering and Beamforming in User-Centric Network91
Is Backscatter Link Stronger than Direct Link in Reconfigurable Intelligent Surface-Assisted System?90
Mixed Dual-Hop FSO-RF Communication Systems Through Reconfigurable Intelligent Surface88
Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA Networks79
Ergodic Capacity of Intelligent Reflecting Surface-Assisted Communication Systems With Phase Errors78
Integration of Energy, Computation and Communication in 6G Cellular Internet of Things77
The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility77
Active Reconfigurable Intelligent Surface: Fully-Connected or Sub-Connected?77
Hybrid RIS-Empowered Reflection and Decode-and-Forward Relaying for Coverage Extension76
Physical Layer Security Enhancement Exploiting Intelligent Reflecting Surface74
Coverage Probability and Ergodic Capacity of Intelligent Reflecting Surface-Enhanced Communication Systems74
Reconfigurable Intelligent Surfaces in 6G: Reflective, Transmissive, or Both?74
On the Performance Analysis of RIS-Empowered Communications Over Nakagami-m Fading68
Robust Design for Intelligent Reflecting Surfaces Assisted MISO Systems67
Automatic Modulation Classification Based on Constellation Density Using Deep Learning66
Intelligent Reflecting Surface Enhanced Millimeter-Wave NOMA Systems65
Practical Modeling and Beamforming for Intelligent Reflecting Surface Aided Wideband Systems65
NOMA Empowered Integrated Sensing and Communication65
Sparse Bayesian Learning of Delay-Doppler Channel for OTFS System65
Backscatter-Enabled NOMA for Future 6G Systems: A New Optimization Framework Under Imperfect SIC62
TDOA Localization With Unknown Signal Propagation Speed and Sensor Position Errors62
Rank Minimization-Based Toeplitz Reconstruction for DoA Estimation Using Coprime Array62
Bit Error Rate for NOMA Network61
Channel Estimation for STAR-RIS-Aided Wireless Communication60
Millimeter Wave and Sub-THz Indoor Radio Propagation Channel Measurements, Models, and Comparisons in an Office Environment60
Reconfigurable Intelligent Surfaces-Aided Physical Layer Security Enhancement in D2D Underlay Communications60
Towards Ubiquitous Positioning by Leveraging Reconfigurable Intelligent Surface59
Channel Estimation for Extremely Large-Scale Massive MIMO: Far-Field, Near-Field, or Hybrid-Field?58
Active Reconfigurable Intelligent Surfaces-Aided Wireless Communication System58
Optimizing Multi-UAV Deployment in 3-D Space to Minimize Task Completion Time in UAV-Enabled Mobile Edge Computing Systems57
Fine-Grained Modulation Classification Using Multi-Scale Radio Transformer With Dual-Channel Representation57
Intelligent Reflecting Surface-Aided Indoor Visible Light Communication Systems57
Deep Learning-Based Denoise Network for CSI Feedback in FDD Massive MIMO Systems55
Simultaneous Transmission and Reflection Reconfigurable Intelligent Surface Assisted Secrecy MISO Networks55
Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems54
Cooperative Spectrum Sensing Meets Machine Learning: Deep Reinforcement Learning Approach53
A Tutorial on Joint Radar and Communication Transmission for Vehicular Networks—Part I: Background and Fundamentals53
Enhanced Secure Wireless Information and Power Transfer via Intelligent Reflecting Surface53
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