Dispersion Compensation Optimization Based on Neural Network

In this paper, a dispersion compensation algorithm based on neural network is proposed. We conduct a simulation to transmit a 120-Gb/s 16-QAM signal over 400-km SSMF in coherent optical systems to prove the effectiveness.

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Bibliographic Details
Published in2022 20th International Conference on Optical Communications and Networks (ICOCN) pp. 1 - 3
Main Authors Chang, Dengpan, Huang, Xiatao, Zhangl, Jing, Xu, Bo, Yi, Xingwen, Qiu, Kun
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.08.2022
Subjects
Chromatic dispersion
Chromatic dispersion compensation (CDC)
finite i mpulse filter
Integrated optics
Neural networks
neutral network
Optical computing
Optical filters
Optical losses
Simulation
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Summary:In this paper, a dispersion compensation algorithm based on neural network is proposed. We conduct a simulation to transmit a 120-Gb/s 16-QAM signal over 400-km SSMF in coherent optical systems to prove the effectiveness.
ISSN:2771-3059
DOI:10.1109/ICOCN55511.2022.9901302