1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
cs.IT2021
Classification of MIMO Equalizers
Wing Chau Ng, Chuandong Li
In this theoretical work, the DSP-perceived channel in optical coherent communications is first simplified, based on which we categorize linear MIMO equalizers into four classes ac…