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Indoor positioning is a challenging problem due to complex environments, signal attenuation, and multi-path effects. A promising approach to this problem is channel charting on wireless networks, where high-dimensional channel state information (CSI) is mapped into a low-dimensional latent space, which preserves spatial relationships in a self-supervised manner. Channel charting can be deep learni
