Applications of Machine Learning on Nonlinear Frequency Division Multiplexing Optic-Fiber Communication Systems

Lixia Xi, Jiacheng Wei, Wenbo Zhang
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Abstract

Nonlinear frequency division multiplexing system becomes one of the promising candidates for overcoming the fiber’s nonlinearity limitations. To improve the system’s performance, machine learning was introduced to the NFDM systems in the past few years. In this paper, an overview on the applications of machine learning in the NFDM systems is presented.
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机器学习在非线性频分复用光纤通信系统中的应用
非线性频分复用系统是克服光纤非线性限制的一个很有前途的候选系统。为了提高系统的性能,机器学习在过去几年被引入到NFDM系统中。本文综述了机器学习在NFDM系统中的应用。
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