Zero-Shot Frequency Generalization for Radio Map Prediction via Cross-Attention Physics-Residual Learning
Deep learning models for radio map prediction are trained and tested at the same carriers and cannot serve unseen frequencies. We propose a two-stream network learning a residual over an analytic prior, fusing environment and physics streams by cross-attention. Evaluated at the query frequency, this free-space and knif...