Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels

@article{Rode2022GeometricCS,
  title={Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels},
  author={Andrej Jaroslav Rode and Laurent Schmalen},
  journal={ArXiv},
  year={2022},
  volume={abs/2212.02401}
}
: We show that separating the in-phase and quadrature component in optimized, machine-learning based demappers of optical communications systems with geometric constellation shaping reduces the required computational complexity whilst retaining their good performance. © 2023 The Author(s) 
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