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K. Petrosyan

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#artificial intelligence Preprint Oct 2026

Scaling Cheap Synthetic Pretraining Improves Indoor Radio-Map Prediction

Real measurements are too limited to train an accurate indoor pathloss predictor that works across a wide range of buildings. Large-scale synthetic pretraining offers a way forward, but real building layouts are also scarce, and accurate ray-tracing simulators are slow, expensive, and often proprietary. We address both...

K. Petrosyan, Artashes Mkrtchyan, R. Mkrtchyan et al. · 0 citations

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