887 citations · 943 across the 12 of their papers we have counts for
4 papers · 1 filter
Introducing -lifting for Learning Nonlinear Pulse Shaping in Coherent Optical Communication
Tim Uhlemann, Alexander Span, Sebastian Dörner +1
Pulse shaping for coherent optical fiber communication has been an active area of research for the past decade. Most of the early schemes are based on classic Nyquist pulse shaping…
A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning
Florian Euchner, Marc Gauger, Sebastian Dörner +1
A distributed massive MIMO channel sounder for acquiring large CSI datasets, dubbed DICHASUS, is presented. The measured data has potential applications in the study of various mac…
Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements
Florian Euchner, Phillip Stephan, Marc Gauger +2
The objective of channel charting is to learn a virtual map of the radio environment from high-dimensional CSI that is acquired by a multi-antenna wireless system. Since, in static…
Adaptive Neural Network-based OFDM Receivers
Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer +3
We propose and examine the idea of continuously adapting state-of-the-art neural network (NN)-based orthogonal frequency division multiplex (OFDM) receivers to current channel cond…