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README.md

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-license: mit
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+# RadioUNet
+RadioUNet is a highly efficient and very accurate method for estimating the propagation pathloss from a point x to all points y on the 2D plane, in realistic propagation environments characterized by the presence of buildings. RadioUNet generates pathloss estimations that are very close to estimations given by physical simulation, but much faster. 
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+For more information see the paper [RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks](https://arxiv.org/pdf/1911.09002.pdf).
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+## Usage Examples
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+Download and extract the [RadioMapSeer dataset](https://drive.google.com/file/d/1PTaPpLOKraVCRZU_Tzev4D5ZO32tpqMO/view?usp=sharing) to the folder of the Jupyter Notebooks.
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+For training without samples see [RadioWNet_c_DPM_Thr2.ipynb](/RadioWNet_c_DPM_Thr2.ipynb).
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+For training with measurements and perturbed city map see [RadioWNet_s_randSim_miss4build_Thr2.ipynb](/RadioWNet_s_randSim_miss4build_Thr2.ipynb).
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+For training with simulated cars, measurements, and input car locations, see [RadioWNet_s_DPMcars_carInput_Thr2.ipynb](/RadioWNet_s_DPMcars_carInput_Thr2.ipynb).
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