Nonlinear Interference Mitigation via Deep Neural Networks

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.

3 pages, 2 figures

Cited by in corpus (1)

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