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Conferences > ACPC > 2020 > M4A > M4A.183
  • Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
  • OSA Technical Digest (Optica Publishing Group, 2020),
  • paper M4A.183
  • •https://doi.org/10.1364/ACPC.2020.M4A.183

Tidal Traffic Prediction Model of Metropolitan Optical Network Based on Long Short-Term Memory

Jiashun Ma, Hui Yang, Bowen Bao, Qiuyan Yao, Tao Peng, Huifeng Guo, and Jie zhang

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Abstract

In this paper, LSTM is applied to model the tidal traffic prediction of metropolitan optical network. The accuracy of prediction is stable over 94%, and can accurately identify the tidal migration period.

© 2020 The Author(s)

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