Improving QoT Estimation Accuracy in Production Networks: A Data-Driven Approach to Address OLS Imperfections

We explore QoT estimation across three phases of optical network planning. Utilizing deployed OCHs, we demonstrate that a data-driven approach enhances estimation precision by accounting OLS imperfections in the Service Expansion Phase .

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Published
2025-01-01
DOI
https://doi.org/10.1364/ofc.2025.tu3i.4
Primary Topic
Advanced Optical Network Technologies
Type
article
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article

Improving QoT Estimation Accuracy in Production Networks: A Data-Driven Approach to Address OLS Imperfections

Zhiqun Zhai, Yan He, Yi Su, Huan Zhang et al.
Advanced Optical Network Technologies
article

Improving QoT Estimation Accuracy in Production Networks: A Data-Driven Approach to Address OLS Imperfections

Zhiqun Zhai, Yan He, Yi Su, Huan Zhang, Liang Dou, Sai Chen, Alan Pak Tao Lau
article en

Abstract

We explore QoT estimation across three phases of optical network planning. Utilizing deployed OCHs, we demonstrate that a data-driven approach enhances estimation precision by accounting OLS imperfections in the Service Expansion Phase .

Hong Kong Polytechnic University (HK), Alibaba Group (United States) (US), Alibaba Group (China) (CN)
Openalex Percentile: Top 90%
Advanced Optical Network Technologies
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