47 citations · 84 across the 24 of their papers we have counts for
24 papers
ESPARGOS: Phase-Coherent WiFi CSI Datasets for Wireless Sensing Research
Florian Euchner, Stephan ten Brink
The use of WiFi signals to sense the physical environment is gaining popularity, with some common applications being motion detection and transmitter localization. Standard-complia…
Leveraging the Doppler Effect for Channel Charting
Florian Euchner, Phillip Stephan, Stephan ten Brink
Channel Charting is a dimensionality reduction technique that reconstructs a map of the radio environment from similarity relationships found in channel state information. Distance…
GAN-based Massive MIMO Channel Model Trained on Measured Data
Florian Euchner, Janina Sanzi, Marcus Henninger +1
Wireless channel models are a commonly used tool for the development of wireless telecommunication systems and standards. The currently prevailing geometry-based stochastic channel…
Graph Neural Network-based Joint Equalization and Decoding
Jannis Clausius, Marvin Geiselhart, Daniel Tandler +1
This paper proposes to use graph neural networks (GNNs) for equalization, that can also be used to perform joint equalization and decoding (JED). For equalization, the GNN is build…
Deep Learning Based Adaptive Joint mmWave Beam Alignment
Daniel Tandler, Marc Gauger, Ahmet Serdar Tan +2
The challenging propagation environment, combined with the hardware limitations of mmWave systems, gives rise to the need for accurate initial access beam alignment strategies with…
Angle-Delay Profile-Based and Timestamp-Aided Dissimilarity Metrics for Channel Charting
Phillip Stephan, Florian Euchner, Stephan ten Brink
Channel charting is a self-supervised learning technique whose objective is to reconstruct a map of the radio environment, called channel chart, by taking advantage of similarity r…