Machine Learning based OTN Network Performance Degradation Prediction

Machine Learning based OTN Network Performance Degradation Prediction

【Objective】This paper aims to address the challenge of predicting performance degradation (frame transmission errors) in Optical Transport Network (OTN). Frame error performance metrics in OTN rely on the detection of Bit Interleaved Parity (BIP) bytes in OTN frame overhead, which are periodically c...

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Bibliographic Details
Main Authors: CHEN Liping, LIAO Liang, ZHANG Peng, ZHU Dehan, PENG Zhichong, ZHOU Hao
Format: Article
Language:zho
Published: 《光通信研究》编辑部 2025-04-01
Series:Guangtongxin yanjiu
Subjects:
OTN
frame error probability prediction
optical channel BER prediction
long short-term memory
logistic regression
Online Access:http://www.gtxyj.com.cn/zh/article/doi/10.13756/j.gtxyj.2025.240047/
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http://www.gtxyj.com.cn/zh/article/doi/10.13756/j.gtxyj.2025.240047/

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