FM-RME: Foundation Model Empowered Radio Map Estimation

Researchers introduce FM-RME, a foundation model for radio map estimation that combines geometry-aware feature extraction with attention-based neural networks. The model uses self-supervised pre-training to enable zero-shot generalization across spatial, temporal, and spectral domains without scenario-specific retraining.