Nonlinear Interference Mitigation via Deep Neural Networks

2017/10/17 by Häger, Christian, Pfister, Henry D.
#FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (stat.ML)

paper · doi:10.48550/arxiv.1710.06234

Abstract

A neural-network-based approach is presented to efficiently implement digital backpropagation (DBP). For a 32x100 km fiber-optic link, the resulting "learned" DBP significantly reduces the complexity compared to conventional DBP implementations.

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