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3 results for RadioUNet

In this paper we propose a highly efficient and very accurate deep learning method for estimating the propagation pathloss from a point xx (transmitter location) to any point yy on a planar domain. For applications such as user-cell site association and device-to-device link scheduling, an accurate knowledge of the p…

2019-11-17abs ↗pdf ↗

Deep learning models, especially CNNs, can predict radio frequency power faster than traditional methods.

problem Accurate radio frequency power prediction for optimal transmitter location.
method Empirical analysis of deep learning models including CNNs and UNET variations for power prediction.
result Deep learning models, particularly CNNs, are effective and generalize well to new regions for power prediction.