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20222024
most citedAutomorphism Ensemble Polar Code Decoders for 6G URLLC

6 citations · 7 across the 6 of their papers we have counts for

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cs.IT20241 cited

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…

cs.IT2023

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…

cs.IT2023

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…

cs.IT2023

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…

cs.IT20236 cited

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…

cs.IT2022

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…