1 citations · 1 across the 12 of their papers we have counts for
12 papers
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…
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…
SINR Estimation under Limited Feedback via Online Convex Optimization
Lorenzo Maggi, Boris Bonev, Reinhard Wiesmayr +2
We introduce a novel online convex optimization (OCO) framework to estimate the user's signal-to-interference-plus-noise ratio (SINR) from ACK/NACK feedback, channel quality indica…
Site-Specific Finetuning of Neural Receivers with Real-World 5G NR Measurements
Nuri Berke Baytekin, Reinhard Wiesmayr, Sebastian Cammerer +2
Finetuning wireless receivers to a specific deployment scenario can yield significant error-rate performance improvements without increasing processing complexity. However, site-sp…
A 14ns-Latency 9Gb/s 0.44mm 62pJ/b Short-Blocklength LDPC Decoder ASIC in 22FDX
Darja Nonaca, Jérémy Guichemerre, Reinhard Wiesmayr +2
Ultra-reliable low latency communication (URLLC) is a key part of 5G wireless systems. Achieving low latency necessitates codes with short blocklengths for which polar codes with s…
CSI-Based User Positioning, Channel Charting, and Device Classification with an NVIDIA 5G Testbed
Reinhard Wiesmayr, Frederik Zumegen, Sueda Taner +2
Channel-state information (CSI)-based sensing will play a key role in future cellular systems. However, no CSI dataset has been published from a real-world 5G NR system that facili…