887 citations · 1.2k across the 50 of their papers we have counts for
10 papers · 1 filter
Optimizing Serially Concatenated Neural Codes with Classical Decoders
Jannis Clausius, Marvin Geiselhart, Stephan ten Brink
For improving short-length codes, we demonstrate that classic decoders can also be used with real-valued, neural encoders, i.e., deep-learning based codeword sequence generators. H…
Learning Quantization in LDPC Decoders
Marvin Geiselhart, Ahmed Elkelesh, Jannis Clausius +4
Finding optimal message quantization is a key requirement for low complexity belief propagation (BP) decoding. To this end, we propose a floating-point surrogate model that imitate…
Probabilistic 5G Indoor Positioning Proof of Concept with Outlier Rejection
Marcus Henninger, Traian E. Abrudan, Silvio Mandelli +6
The continuously increasing bandwidth and antenna aperture available in wireless networks laid the foundation for developing competitive positioning solutions relying on communicat…
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…
Learning Joint Detection, Equalization and Decoding for Short-Packet Communications
Sebastian Dörner, Jannis Clausius, Sebastian Cammerer +1
We propose and practically demonstrate a joint detection and decoding scheme for short-packet wireless communications in scenarios that require to first detect the presence of a me…
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…
Geometry-Based Phase and Time Synchronization for Multi-Antenna Channel Measurements
Florian Euchner, Phillip Stephan, Marc Gauger +1
Synchronization of transceiver chains is a major challenge in the practical realization of massive MIMO and especially distributed massive MIMO. While frequency synchronization is…
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…
Automorphism Ensemble Decoding of Quasi-Cyclic LDPC Codes by Breaking Graph Symmetries
Marvin Geiselhart, Moustafa Ebada, Ahmed Elkelesh +2
We consider automorphism ensemble decoding (AED) of quasi-cyclic (QC) low-density parity-check (LDPC) codes. Belief propagation (BP) decoding on the conventional factor graph is eq…