6 citations · 7 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
Component Training of Turbo Autoencoders
Jannis Clausius, Marvin Geiselhart, Stephan ten Brink
Isolated training with Gaussian priors (TGP) of the component autoencoders of turbo-autoencoder architectures enables faster, more consistent training and better generalization to…
Phase-Equivariant Polar Coded Modulation
Marvin Geiselhart, Marc Gauger, Felix Krieg +2
For short-packet, low-latency communications over random access channels, piloting overhead significantly reduces spectral efficiency. Therefore, pilotless systems recently gained…
Rate-Compatible Polar Codes for Automorphism Ensemble Decoding
Marvin Geiselhart, Jannis Clausius, Stephan ten Brink
Recently, automorphism ensemble decoding (AED) has drawn research interest as a more computationally efficient alternative to successive cancellation list (SCL) decoding of polar c…
Automorphism Ensemble Polar Code Decoders for 6G URLLC
Claus Kestel, Marvin Geiselhart, Lucas Johannsen +2
The URLLC scenario in the upcoming 6G standard requires low latency and ultra reliable transmission, i.e., error correction towards ML performance. Achieving near-ML performance is…
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…