A graph neural network with grid and ray-tracing edges, trained with masked outputs on real-world 4G measurements, generates radio coverage maps with 8.5 dB RMSE on outdoor data and 0.18 s GPU inference.
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Data-Driven Radio Propagation Modeling using Graph Neural Networks
A graph neural network with grid and ray-tracing edges, trained with masked outputs on real-world 4G measurements, generates radio coverage maps with 8.5 dB RMSE on outdoor data and 0.18 s GPU inference.