Deep Neural Network Assisted Second-Order Perturbation-Based Nonlinearity Compensation
Signal Processing
2021-06-29 v3
Authors:
O. S. Sunish Kumar
, Lutz Lampe
, Shenghang Luo
, Mrinmoy Jana
, Jeebak Mitra
, Chuandong Li
Abstract
We propose a fiber nonlinearity post-compensation technique using the DNN and the second-order perturbation theory. We achieve 1 dB Q-factor improvement for a 32 Gbaud PDM-64-QAM at 1200 km compared to the linear dispersion compensation.
Keywords
Cite
@article{arxiv.2105.09027,
title = {Deep Neural Network Assisted Second-Order Perturbation-Based Nonlinearity Compensation},
author = {O. S. Sunish Kumar and Lutz Lampe and Shenghang Luo and Mrinmoy Jana and Jeebak Mitra and Chuandong Li},
journal= {arXiv preprint arXiv:2105.09027},
year = {2021}
}
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