QoT Estimation for Large-scale Mixed-rate Disaggregated Metro DCI Networks by Artificial Neural Networks

被引：0

作者：

He, Yan ^{[1
]}

Chandramouli, Kausthubh ^{[1
]}

Zhai, Zhiqun ^{[2
]}

Chen, Sai ^{[2
]}

Dou, Liang ^{[3
]}

Xie, Chongjin ^{[4
]}

Lu, Chao ^{[1
]}

Lau, Alan Pak Tao ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Photon Res Inst, Dept Elect & Elect Engn, Hong Kong, Peoples R China

[2] Alibaba Cloud, Alibaba Grp, Hangzhou, Peoples R China

[3] Alibaba Cloud, Alibaba Grp, Beijing, Peoples R China

[4] Alibaba Cloud, Alibaba Grp, New York, NY 10014 USA

来源：

2024 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC | 2024年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We proposed an artificial neural network (ANN)-based QoT estimator for large-scale mixed-rate disaggregated metro DCI networks with an estimation error standard deviation of 0.3 dB, outperforming analytical-based methods with vendor-specific transponder SNR characterization. (c) 2024 The Author(s)

引用

页数：3

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