ANN-Based Mitigation of Optical Fiber Nonlinear Distortions in Data Center Networks

M. M. T. Maghrabi, Shiva Kumar, M. Bakr
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Abstract

This work presents a novel electrical equalization technique for mitigating the nonlinear distortions adhered to the received signals in data center networks. These distortions are due to the combination of the chromatic dispersion induced by the optical fiber channel and the direct detection system. An Artificial Neural Network (ANN) is trained to reverse the combined effect of the chromatic dispersion and direct detection.
基于神经网络的数据中心网络中光纤非线性畸变的抑制
本文提出了一种新的电均衡技术,用于减轻数据中心网络中接收信号的非线性失真。这些畸变是由光纤通道和直接检测系统引起的色散共同造成的。训练人工神经网络(ANN)来逆转色散和直接检测的综合影响。
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