OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Wireless Communications is 89. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Faster-Than-Nyquist Symbol-Level Precoding for Wideband Integrated Sensing and Communications	876022323
Secure RIS-Assisted Hybrid Beamforming Design with Low-Resolution Phase Shifters	842019380
Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference	171127347
Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement	685
A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks	671
Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces	590
Federated Learning via Over-the-Air Computation	550
Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks	497
Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis	466
Energy Efficient Federated Learning Over Wireless Communication Networks	442
Federated Learning Over Wireless Fading Channels	341
Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems	281
Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications	273
Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization	256
Simultaneously Transmitting and Reflecting (STAR) RIS Aided Wireless Communications	220
Active Reconfigurable Intelligent Surface-Aided Wireless Communications	208
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning	203
Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels	200
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective	191
Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design	191
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning	188
Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing Systems	179
Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing	178
A Crowdsourcing Framework for On-Device Federated Learning	172
On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication	168

Intelligent Reflecting Surface Enhanced Wireless Networks: Two-Timescale Beamforming Optimization	168
Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks	164
Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis	162
Convergence Time Optimization for Federated Learning Over Wireless Networks	161
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis	159
Online Distributed Offloading and Computing Resource Management With Energy Harvesting for Heterogeneous MEC-Enabled IoT	156
Multi-Armed Bandit-Based Client Scheduling for Federated Learning	155
Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design With 3D Beam Flattening	154
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach	151
Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design	142
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in SAGIN	141
Optimal Energy Allocation and Task Offloading Policy for Wireless Powered Mobile Edge Computing Systems	137
Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches	135
Adaptive Neural Signal Detection for Massive MIMO	134
3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach	133
Performance Analysis of Large Intelligent Surfaces (LISs): Asymptotic Data Rate and Channel Hardening Effects	130
Sum-Rate Maximization for IRS-Assisted UAV OFDMA Communication Systems	130
Scheduling for Cellular Federated Edge Learning With Importance and Channel Awareness	128
Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization	125
Robust Secure UAV Communications With the Aid of Reconfigurable Intelligent Surfaces	125
Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach	124
Robust Transmission Design for Intelligent Reflecting Surface-Aided Secure Communication Systems With Imperfect Cascaded CSI	124
Adaptive Resource Allocation in Future Wireless Networks With Blockchain and Mobile Edge Computing	122
Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA	120
Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach	117
Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective	117
UAV-Assisted Intelligent Reflecting Surface Symbiotic Radio System	116
UAV-to-UAV Communications in Cellular Networks	116
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications	116
Joint Power and Blocklength Optimization for URLLC in a Factory Automation Scenario	115
Joint Reflecting and Precoding Designs for SER Minimization in Reconfigurable Intelligent Surfaces Assisted MIMO Systems	114
Lyapunov-Guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks	113
Hybrid Offline-Online Design for UAV-Enabled Data Harvesting in Probabilistic LoS Channels	112
Energy-Efficient Wireless Communications With Distributed Reconfigurable Intelligent Surfaces	112
Over-the-Air Computation Systems: Optimization, Analysis and Scaling Laws	112
DeepNOMA: A Unified Framework for NOMA Using Deep Multi-Task Learning	112
Offloading and Resource Allocation With General Task Graph in Mobile Edge Computing: A Deep Reinforcement Learning Approach	111
Local Partial Zero-Forcing Precoding for Cell-Free Massive MIMO	108
Resource Allocation for Multi-Cell IRS-Aided NOMA Networks	107
Reconfigurable Intelligent Surfaces With Reflection Pattern Modulation: Beamforming Design and Performance Analysis	106
Secure Radar-Communication Systems With Malicious Targets: Integrating Radar, Communications and Jamming Functionalities	104
Overhead-Aware Design of Reconfigurable Intelligent Surfaces in Smart Radio Environments	104
Massive MIMO Channel Estimation With an Untrained Deep Neural Network	103
Optimized Power Control for Over-the-Air Computation in Fading Channels	102
Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access	101
Cell-Free Massive MIMO for Wireless Federated Learning	100
Resource Allocation for Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing in OFDM Systems	100
Analytical Channel Models for Millimeter Wave UAV Networks Under Hovering Fluctuations	100
Achievable Rate Optimization for MIMO Systems With Reconfigurable Intelligent Surfaces	99
A General 3D Non-Stationary Wireless Channel Model for 5G and Beyond	98

Enhancing Secure MIMO Transmission via Intelligent Reflecting Surface	98
Energy-Efficient UAV Backscatter Communication With Joint Trajectory Design and Resource Optimization	98
Max-Min Fairness in IRS-Aided Multi-Cell MISO Systems With Joint Transmit and Reflective Beamforming	97
Joint Transceiver and Large Intelligent Surface Design for Massive MIMO mmWave Systems	97
Energy Efficiency and Delay Tradeoff for Wireless Powered Mobile-Edge Computing Systems With Multi-Access Schemes	96
Power Control Based on Deep Reinforcement Learning for Spectrum Sharing	96
Joint Antenna Selection and Hybrid Beamformer Design Using Unquantized and Quantized Deep Learning Networks	96
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems	94
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection	94
Multi-Mode OAM Radio Waves: Generation, Angle of Arrival Estimation and Reception With UCAs	90
Mobility-Aware Joint Task Scheduling and Resource Allocation for Cooperative Mobile Edge Computing	90
Power Control in Cellular Massive MIMO With Varying User Activity: A Deep Learning Solution	89
Reinforcement Learning Based Capacity Management in Multi-Layer Satellite Networks	89
Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments	89