Reduced Complexity Nonlinearity Compensation via Principal Component Analysis and Deep Neural Networks

Abstract

We demonstrate a novel fiber nonlinearity post-equalization algorithm using principal component analysis and neural networks. We achieve ∼0.46 dBQ improvement for 21 Gbaud DP-8QAM transmission over ∼13,000 km deployed fiber with over 90% complexity reduction.