Neural Network Architectures for Optical Channel Nonlinear Compensation in Digital Subcarrier Multiplexing Systems. (arXiv:2304.06836v1 [cs.IT])

In this work, we propose to use various artificial neural network (ANN)
structures for modeling and compensation of intra- and inter-subcarrier fiber
nonlinear interference in digital subcarrier multiplexing (DSCM) optical
transmission systems. We perform nonlinear channel equalization by employing
different ANN cores including convolutional neural networks (CNN) and long
short-term memory (LSTM) layers. We start to compensate the fiber nonlinearity
distortion in DSCM systems by a fully connected network across all subcarriers.
In subsequent steps, and borrowing from fiber nonlinearity …

analysis ann architectures artificial arxiv cnn compensation convolutional neural networks digital equalization long short-term memory lstm memory modeling network networks neural network neural networks systems upgrade work