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

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.

Bibliographic Details
Main Authors: Shaoliang Zhang, Fatih Yaman, Kohei Nakamura, Takanori Inoue, Valey Kamalov, Ljupcho Jovanovski, Vijay Vusirikala, Eduardo Mateo, Yoshihisa Inada, Ting Wang
Format: Article
Language:English
Published: Nature Publishing Group 2019-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-10911-9