Nonlinear Interference Mitigation via Deep Neural Networks
2017-10-17Code Available1· sign in to hype
Christian Häger, Henry D. Pfister
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ReproduceCode
- github.com/chaeger/LDBPtf★ 52
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.