4 papers
A Novel Deep Learning-Based Coarse-to-Fine Frame Synchronization Method for OTFS Systems
Meiwen Men, Tao Zhou, Kaifeng Bao +4
Orthogonal time frequency space (OTFS) modulation is a robust candidate waveform for future wireless systems, particularly in high-mobility scenarios, as it effectively mitigates t…
Ray-Tracing Based Narrow-Beam Channel Simulation, Characterization and Performance Evaluation for 5G-R Systems
Tao Zhou, Liying Geng, Kaifeng Bao +3
This paper investigates narrow-beam channel characterization and performance evaluation for 5G for railway (5G-R) systems based on ray-tracing (RT) simulation. Three representative…
Deep Learning Based Joint Space-Time-Frequency Domain Channel Prediction for Cell-Free Massive MIMO Systems
Yongning Qi, Tao Zhou, Zuowei Xiang +2
The cell-free massive multi-input multi-output (CF-mMIMO) is a promising technology for the six generation (6G) communication systems. Channel prediction will play an important rol…
A Novel Delay-Doppler Domain Channel Sounding Method for 6G High-Mobility Scenarios
Kaifeng Bao, Tao Zhou, Chaoyi Li +2
Channel measurements are the prerequisite for applying emerging transmission technologies and designing communication systems. In sixth-generation (6G) system, conventional time or…