Pathloss Prediction Using Deep Learning With Applications To Cellular Optimization And Efficient D2D Link Scheduling

In this paper we propose a highly efficient and very accurate method for estimating the propagation pathloss from a point x to all points y on the 2D plane. Our method, termed RadioUNet, is a deep neural network. For applications such as user-cell site as
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