28 citations · 51 across the 13 of their papers we have counts for
4 papers · 1 filter
Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels
Andrej Rode, Laurent Schmalen
We show that separating the in-phase and quadrature component in optimized, machine-learning based demappers of optical communications systems with geometric constellation shaping…
End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search
Andrej Rode, Benedikt Geiger, Shrinivas Chimmalgi +1
As the demand for higher data throughput in coherent optical communication systems increases, we need to find ways to increase capacity in existing and future optical communication…
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning
Lukas Rapp, Luca Schmid, Andrej Rode +1
We propose a novel method to optimize the structure of factor graphs for graph-based inference. As an example inference task, we consider symbol detection on linear inter-symbol in…
Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters
Andrej Rode, Laurent Schmalen
We present a novel method to investigate the effects of varying channel parameters on geometrically shaped constellations for communication systems employing the blind phase search…