基于图神经网络和自然语言处理的光网络诊断

2023 Optical Fiber Communications Conference and Exhibition (OFC) Pub Date : 2023-03-01 DOI:10.23919/OFC49934.2023.10117074

Xiaonan Xu, Haoshuo Chen, J. Simsarian, R. Ryf, M. Mazur, L. Dallachiesa, N. Fontaine, D. Neilson

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引用次数: 1

摘要

我们提出了一种人工智能驱动的网络诊断策略，包括高达16度roadm的报警聚类和故障定位，准确率为bb0 98%，并展示了使用NLP编码的优势。

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Optical Network Diagnostics Using Graph Neural Networks and Natural Language Processing

We propose an AI-powered network diagnostic strategy including alarm clustering and fault localization with >98% accuracy for up-to 16-degree ROADMs and demonstrate the advantages of using NLP in encoding.

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来源期刊

2023 Optical Fiber Communications Conference and Exhibition (OFC)

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