3 papers
eess.SP2026
Sensing-Assisted LoS/NLoS Identification in Dynamic UAV Positioning Systems
Huijuan Qiao, Lu Bai, Mingran Sun +3
In this paper, a sensing-assisted non-line-of-sight (NLoS) identification method for dynamic uncrewed aerial vehicle (UAV) positioning is proposed for the first time. For urban UAV…
eess.SP2026
Multi-Modal Sensing Residual-Corrected GNN for mmWave Path Loss Prediction via Synesthesia of Machines
Mengyuan Lu, Lu Bai, Xiang Cheng
To support sixth-generation (6G)-enabled intelligent transportation systems (ITSs), a multi-modal sensing residual-corrected graph neural network (MM-ResGNN) framework is proposed…
eess.SP2025
A Multi-modal Intelligent Channel Model for 6G Multi-UAV-to-Multi-Vehicle Communications
Lu Bai, Mengyuan Lu, Ziwei Huang +1
In this paper, a novel multi-modal intelligent channel model for sixth-generation (6G) multiple-unmanned aerial vehicle (multi-UAV)-to-multi-vehicle communications is proposed. To…