Nonlinear Interference Mitigation via Deep Neural Networks

@article{Hger2018NonlinearIM,
  title={Nonlinear Interference Mitigation via Deep Neural Networks},
  author={Christian H{\"a}ger and H. Pfister},
  journal={2018 Optical Fiber Communications Conference and Exposition (OFC)},
  year={2018},
  pages={1-3}
}
  • Christian Häger, H. Pfister
  • Published 2018
  • Computer Science, Mathematics, Engineering
  • 2018 Optical Fiber Communications Conference and Exposition (OFC)
  • A neural-network-based approach is presented to efficiently implement digital backpropagation (DBP). For a 32×100 km fiber-optic link, the resulting "learned" DBP significantly reduces the complexity compared to conventional DBP implementations. 
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