2024
DOI: 10.1364/jocn.517551
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Digital-twin-assisted meta learning for soft-failure localization in ROADM-based optical networks

Ruikun Wang,
Jiawei Zhang,
Zhiqun Gu
et al.

Abstract: Reconfigurable optical add/drop multiplexer (ROADM) nodes are evolving towards high-degree architectures to support growing traffic and enable flexible network connectivity. Due to the complex composition of high-degree ROADMs, soft failures may occur between both inter- and intra-node components, like wavelength selective switches and fiber spans. The intricate ROADM structure significantly contributes to the challenge of localizing inter-/intra-node soft failures in ROADM-based optical networks. Machine lear… Show more

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Cited by 4 publications
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