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eess.SP2026
Supervised Device Charting with CSI Measurements from Commercial 5G NR User Equipments
Mischa Vasylyev, Frederik Zumegen, Reinhard Wiesmayr +1
Radio frequency fingerprint identification (RFFI) is a promising approach to distinguish physical wireless devices using hardware-induced signal imperfections. Conventional RFFI me…
eess.SP2026
Channel Charting for Position and Orientation
Daniel Richner, Reinhard Wiesmayr, Frederik Zumegen +1
Channel charting (CC) in real-world coordinates is a recently proposed self-supervised machine learning method that maps high-dimensional channel state information (CSI) to user eq…
eess.SP2026
Spatial and Temporal Generalization of CSI-based Neural Positioning
Till-Yannic Müller, Frederik Zumegen, Reinhard Wiesmayr +1
Channel state information (CSI)-based neural positioning learns a mapping from CSI measurements to user equipment (UE) positions using neural networks. However, most existing perfo…