Low-Margin Optical-Network Design with Multiple Physical-Layer Parameter Uncertainties

被引：0

作者：

Karandin, Oleg ^{[1
]}

Ferrari, Alessio ^{[2
]}

Musumeci, Francesco ^{[1
]}

Pointurier, Yvan ^{[2
]}

Tornatore, Massimo ^{[1
]}

机构：

[1] Politecn Milan, Milan, Italy

[2] Huawei Technol France, Paris Res Ctr, Paris, France

来源：

2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC) | 2022年

关键词：

D O I：

暂无

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Analytical QoT models require safety margins to account for uncertain knowledge of input parameters. We propose and evaluate a design procedure that gradually decreases these margins in presence of multiple physical-layer uncertainties, by leveraging monitoring data to build a ML-based QoT regressor. (C) 2022 The Author(s)

引用

页数：4

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