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

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.

arXiv commentSubmitted to the Optical Fiber Communication Conference (OFC) 2023