LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs.

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Overview

LocUNet

LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs. The method utilizes accurate estimates of the radio maps of each BS, and is tailored to work in realistic propagation environments in urban settings.

See the paper Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach for more information.

The associated dataset RadioLocSeer is available at the project main page.

For reproducibility, see the compute capsule.

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GitHub Repository
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