Nonlinear Interference Mitigation via Deep Neural Networks
arXiv:1710.06234v1150 citations
Originality Incremental advance
AI Analysis
This work addresses efficiency in fiber-optic communication systems, but it is incremental as it builds on existing digital backpropagation methods.
The paper tackled the problem of high computational complexity in digital backpropagation for fiber-optic communications by using a neural-network-based approach, achieving significant complexity reduction for a 32x100 km link.
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.