physics-unrolled-neural-operator

The paper introduces Physics-Unrolled Hybrid Neural Operator (PU-HNO), a model that predicts high-fidelity indoor radio maps from low-fidelity ray-tracing outputs by capturing propagation effects like reflection, diffraction, and scattering, outperforming existing baselines.