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)
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页数：4
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