225 citations · 308 across the 44 of their papers we have counts for
6 papers · 1 filter
Non-Orthogonal HARQ-CC over SDR: A GNU Radio-Based Implementation
Hongling Huang, Jintao Wang, Zheng Shi +4
Hybrid Automatic Repeat Request (HARQ) schemes typically allocate all available resources to retransmit failed packets to ensure reliability. However, under stringent delay constra…
Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead
Kehui Li, Binggui Zhou, Jiajia Guo +3
Multi-user millimeter-wave communication relies on narrow beams and dense cell deployments to ensure reliable connectivity. However, tracking optimal beams for multiple mobile user…
Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios
Binggui Zhou, Xi Yang, Shaodan Ma +2
In time division duplexing (TDD) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) can be obtained from uplin…
Variational Bayesian Learning Based Localization and Channel Reconstruction in RIS-aided Systems
Yunfei Li, Yiting Luo, Xianda Wu +3
The emerging immersive and autonomous services have posed stringent requirements on both communications and localization. By considering the great potential of reconfigurable intel…
Variational Bayesian Learning based Joint Localization and Path Loss Exponent with Distance-dependent Noise in Wireless Sensor Network
Yunfei Li, Yiting Luo, Weiqiang Tan +3
This paper focuses on the challenge of jointly optimizing location and path loss exponent (PLE) in distance-dependent noise. Departing from the conventional independent noise model…
Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots
Binggui Zhou, Xi Yang, Shaodan Ma +2
To reap the promising benefits of massive multiple-input multiple-output (MIMO) systems, accurate channel state information (CSI) is required through channel estimation. However, d…