3 papers
eess.SP2025
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks
Jianzhe Xue, Dongcheng Yuan, Zhanxi Ma +4
Channel prediction is crucial for high-mobility vehicular networks, as it enables the anticipation of future channel conditions and the proactive adjustment of communication strate…
cs.LG2024
Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles
Jianzhe Xue, Dongcheng Yuan, Yu Sun +5
The growing number of connected vehicles offers an opportunity to leverage internet of vehicles (IoV) data for traffic state estimation (TSE) which plays a crucial role in intellig…
cs.AI2024
Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles
Jianzhe Xue, Yunting Xu, Dongcheng Yuan +4
Traffic flow estimation (TFE) is crucial for intelligent transportation systems. Traditional TFE methods rely on extensive road sensor networks and typically incur significant cost…