Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation

1. 1Utilize deep learning models to generate elevation maps from 2D data
2. 2Integrate elevation maps with radio propagation models for REM estimation
3. 3Evaluate the performance of learned elevation models against traditional LiDAR-based methods

Telecom engineers and researchers can benefit from this approach to improve network planning and operation, while reducing the need for expensive LiDAR equipment

💡 Learned elevation models can provide accurate radio environment maps without the need for expensive LiDAR equipment

📡 Learned elevation models can replace LiDAR for radio environment mapping #6G #wireless