1 citations · 1 across the 1 of their papers we have counts for
Showing eess.SPShow all
2 papers · 1 filter
eess.SP2022★ 1 cited
Learning for Perturbation-Based Fiber Nonlinearity Compensation
Shenghang Luo, Sunish Kumar Orappanpara Soman, Lutz Lampe +2
Several machine learning inspired methods for perturbation-based fiber nonlinearity (PBNLC) compensation have been presented in recent literature. We critically revisit acclaimed b…
eess.SP2021★ 1 cited
Deep Neural Network Assisted Second-Order Perturbation-Based Nonlinearity Compensation
O. S. Sunish Kumar, Lutz Lampe, Shenghang Luo +3
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 a…