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cs.IT2025

Three-Dimensional Radio Localization: A Channel Charting-Based Approach

Phillip Stephan, Florian Euchner, Stephan ten Brink

Channel charting creates a low-dimensional representation of the radio environment in a self-supervised manner using manifold learning. Preserving relative spatial distances in the…

cs.IT2025

CSI Obfuscation: Single-Antenna Transmitters Can Not Hide from Adversarial Multi-Antenna Radio Localization Systems

Phillip Stephan, Florian Euchner, Stephan ten Brink

The ability of modern telecommunication systems to locate users and objects in the radio environment raises justified privacy concerns. To prevent unauthorized localization, single…

cs.IT2025

Passive Channel Charting: Locating Passive Targets using Wi-Fi Channel State Information

Florian Euchner, David Kellner, Phillip Stephan +1

We propose passive channel charting, an extension of channel charting to passive target localization. As in conventional channel charting, we follow a dimensionality reduction appr…

cs.IT2024

Uncertainty-Aware Dimensionality Reduction for Channel Charting with Geodesic Loss

Florian Euchner, Phillip Stephan, Stephan ten Brink

Channel Charting is a dimensionality reduction technique that learns to reconstruct a low-dimensional, physically interpretable map of the radio environment by taking advantage of…

cs.IT2024

Channel Charting-Based Channel Prediction on Real-World Distributed Massive MIMO CSI

Phillip Stephan, Florian Euchner, Stephan ten Brink

Distributed massive MIMO is considered a key advancement for improving the performance of next-generation wireless telecommunication systems. However, its efficacy in scenarios inv…