TDoA-based self-supervised channel charting with NLoS mitigation and UE displacement achieves 2-4 meter accuracy in 90% of cases in a real 5G testbed, outperforming prior semi- and self-supervised methods.
Improving Channel Charting with Representation-Constrained Autoencoders,
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TDoA-Based Self-Supervised Channel Charting with NLoS Mitigation
TDoA-based self-supervised channel charting with NLoS mitigation and UE displacement achieves 2-4 meter accuracy in 90% of cases in a real 5G testbed, outperforming prior semi- and self-supervised methods.