Study On Optical Communications, Volume. 51, Issue 2, 240047-01(2025)

Machine Learning based OTN Network Performance Degradation Prediction

Liping CHEN1, Liang LIAO2, Peng ZHANG2,3、*, Dehan ZHU1, Zhichong PENG1, and Hao ZHOU1
Author Affiliations
  • 1FiberHome Telecommunictions Co., Ltd., Wuhan 430074, China
  • 2China Information and Communications Technology Group Corporation, Wuhan 430074, China
  • 3School of Electronic Information and Communications, HuaZhong University of Science and Technology, Wuhan 430074, China
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    Figures & Tables(5)
    OTN networking architecture
    The ARIMA model performance for short-term prediction
    The ARIMA model performance for long-term prediction
    The prediction effect of LSTM and RNN algorithms on optical channel BER
    The simulation results
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    Liping CHEN, Liang LIAO, Peng ZHANG, Dehan ZHU, Zhichong PENG, Hao ZHOU. Machine Learning based OTN Network Performance Degradation Prediction[J]. Study On Optical Communications, 2025, 51(2): 240047-01

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    Paper Information

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    Received: Apr. 22, 2024

    Accepted: --

    Published Online: May. 22, 2025

    The Author Email: Peng ZHANG (hustzhangpeng@hust.edu.cn)

    DOI:10.13756/j.gtxyj.2025.240047

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