PILOT unifies 2D and 3D radio map generation via physics-guided wavefront autoregressive prediction, reporting lowest NMSE on 2D benchmarks and 78% NMSE reduction with 2500x faster inference than diffusion baselines for 3D.
A scalable and generalizable pathloss map prediction
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PILOT: One Physics-Integrated Generation Framework to Unify 2D and 3D Radio Map Construction
PILOT unifies 2D and 3D radio map generation via physics-guided wavefront autoregressive prediction, reporting lowest NMSE on 2D benchmarks and 78% NMSE reduction with 2500x faster inference than diffusion baselines for 3D.
- A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness