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

2022/12/05 by Rode, Andrej, Schmalen, Laurent
#FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2212.02401

Abstract

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.

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