Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters

Andrej Rode; Laurent Schmalen

Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters

Signal Processing 2022-06-30 v2 Information Theory math.IT

Authors: Andrej Rode , Laurent Schmalen

Abstract

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 algorithm. We show that introduced asymmetries significantly improve performance if adapted to changing channel parameters.

Keywords

geometric constellation shaping wiener phase noise blind phase search channel parameters asymmetric constellations communication systems

Cite

@article{arxiv.2206.12288,
  title  = {Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters},
  author = {Andrej Rode and Laurent Schmalen},
  journal= {arXiv preprint arXiv:2206.12288},
  year   = {2022}
}

Comments

Accepted to be presented at ECOC 2022

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