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Conferences > OFC > 2023 > W4G > W4G.5

986 km Field Trial of Cascaded ANN-based Link-Penalty Models for QoT Prediction

R. Yang, S. Shen, H. Li, Z. Shi, R. Wang, R. Nejabati, S. Yan, and D. Simeonidou

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Abstract

Cascaded ANN-based link penalty models are developed and demonstrated for QoT predictions over a 986-km field trial testbed, with precision of ± 0.16 dB. Co-training of ANN models allows network-level QoT prediction feasible.

© 2023 The Author(s)

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