Abstract

Conventional soft demappers designed for AWGN channels suffer from performance loss under realistic channels. We propose a neural network soft demapper and show a gain of 0.35dB in an 800Gb/s coherent transmission experiment using DP-32QAM.

© 2020 The Author(s)

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