Phillip Stephan, M.Sc.

My research interests are:

• Wireless telecommunication systems and massive MIMO
• Signal processing and machine learning for wireless systems
• Channel charting and radio-based localization
• Raytracing for channel modeling

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.

Our channel charting tutorial provides a comprehensible step-by-step guide to perform triplet-based CC on channel measurements captured by our DICHASUS channel sounder.

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.