Nonlinear Interference Mitigation via Deep Neural Networks

Published 17 Oct 2017 in cs.IT, math.IT, and stat.ML | (1710.06234v1)

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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