A 3D-SPADE algorithm uses LiDAR point clouds to predict scatterer distributions and classify them as dynamic or static, enabling accurate non-stationary U2V channel modeling that matches ray-tracing better than standardized models.
Toward 6G-V2X: Aggregated RF-VLC for ultra-reliable and low-latency autonomous driving,
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A Multi-Modal Intelligent U2V Channel Model for 6G Sensing-Communication Integration
A 3D-SPADE algorithm uses LiDAR point clouds to predict scatterer distributions and classify them as dynamic or static, enabling accurate non-stationary U2V channel modeling that matches ray-tracing better than standardized models.