Nature Communications (Jul 2019)

Field and lab experimental demonstration of nonlinear impairment compensation using neural networks

  • Shaoliang Zhang,
  • Fatih Yaman,
  • Kohei Nakamura,
  • Takanori Inoue,
  • Valey Kamalov,
  • Ljupcho Jovanovski,
  • Vijay Vusirikala,
  • Eduardo Mateo,
  • Yoshihisa Inada,
  • Ting Wang

DOI
https://doi.org/10.1038/s41467-019-10911-9
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 8

Abstract

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Long-distance fiber communications still face many fundamental challenges in capacity due to nonlinearities. The authors develop a neural-network based tool to compensate nonlinearities, without prior knowledge of the transmission link, with low complexity.