Drone 4G Base-Station Data Collection Platform
A DJI M400 payload platform built on PSDK, Raspberry Pi 4B, RNDIS networking, SDR hardware, and a 4G/5G dongle for in-flight cellular base-station and radio-signal measurements.
Wei Xinyuan
Ph.D. student in Computer Science and Technology at SUSTech
I am a Ph.D. student in Computer Science and Technology at Southern University of Science and Technology (SUSTech), advised by Rui Wang and Weijie Yuan. I received my B.E. degree in Communication Engineering from SUSTech in 2022. My research interests include wireless sensing, integrated sensing and communications, and channel maps. I aim to unlock more ubiquitous scenarios for wireless sensing and improve channel map estimation by integrating machine learning with out-of-band sensors.
Recent Updates
Received the CAAC medium UAV BVLOS pilot license.
OTFSensi accepted by TMC. From demo to paper, finally. 🎉
OTFS-assisted ISAC accepted by TMC. The SDR testbed keeps paying off. 🚀
Presented OTFS-ISAC at ICCC 2024 and showed the OTFSensi demo at the Demo Show.
Presented delay-Doppler channel estimation work at GLOBECOM 2023.
Presented the SDR delay-Doppler sensing system at WCNC 2023.
Research Systems
Selected Work
OTFSensi: OTFS Sensing for Human Activity Recognition in Future 6G Networks
Xinyuan Wei, Weijie Yuan, Kecheng Zhang, Qin Tao, Fan Liu, Rui Wang
Robust and Extensible Multi-Branch Semantic Communication in LAWNs: Deployment-Efficient Design With SDR-Based Validation
Guixiong Chen, Hongjia Huang, Xinyuan Wei, Ruizhi Ruan, Yuanhao Cui, Weijie Yuan
