A graph neural network with a learned confidence-based fusion of a weighted-centroid prior localizes jamming sources in simulated wireless networks, outperforming classical and learning-based baselines.
In: Advances in Neural Information Processing Systems (2020)
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Graph Neural Networks for Jamming Source Localization
A graph neural network with a learned confidence-based fusion of a weighted-centroid prior localizes jamming sources in simulated wireless networks, outperforming classical and learning-based baselines.