My research interests are:
- Wireless telecommunication systems and massive MIMO
- Signal processing and machine learning for wireless systems
- Channel charting and positioning
Currently, I’m focusing on channel charting (CC), which aims to create a virtual map of the radio environment from high-dimensional channel state information (CSI) that is acquired by a multi-antenna wireless system. In contrast to supervised fingerprinting methods for user equipment (UE) localization, a channel chart can be learned in a self-supervised manner since the CSI mainly depends on the spatial position of the UE. However, CC is a fairly new field of study, so the ongoing research mainly focuses on improving the existing approaches, which include CSI feature engineering and dimensionality reduction. In addition, various applications for CC are explored.
If you are interested in wireless telecommunication systems, machine learning and programming, please feel free to contact me for a bachelor, research, or master thesis.
- F. Euchner, P. Stephan, M. Gauger, S. Dörner, and S. Ten Brink, “Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements,” in 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022, pp. 1–5.
- F. Euchner, P. Stephan, M. Gauger, and S. ten Brink, “Channel Sounder with Over-the-Air Antenna Synchronization: Absolute Phase and Timing Calibration Using Known Transmitter Locations,” European Conference on Networks and Communications, 2022.
- F. Euchner, P. Stephan, M. Gauger, and S. ten Brink, “Geometry-Based Phase and Time Synchronization for Multi-Antenna Channel Measurements,” 2022.
|summer term 2023||
|winter term 2022/2023||
|summer term 2022||