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

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

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IEEE ICASSP 2020 Virtual Conference May 2020

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

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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