Load aware Raman gain profile prediction in dynamic multi-band optical networks

被引：0
|
作者：
Brusin, A. Margareth Rosa [1 ]
de Moura, Uiara C. [2 ]
D'Amico, Andrea [1 ]
Curri, Vittorio [1 ]
Zibar, Darko [2 ]
Carena, Andrea [1 ]
机构：
[1] Politecn Torino, DET, Corso Duca Abruzzi 24, I-10129 Turin, Italy
[2] Tech Univ Denmark, DTU Foton, DK-2800 Lyngby, Denmark
来源：
2020 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2020年
基金：
欧洲研究理事会; 欧盟地平线“2020”;
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 introduce a load aware machine learning method for prediction of Raman gain profiles. It enables future network controllers to manage seamless upgrades toward multi-band optical line systems with dynamic loads. (C) 2020 The Author(s)
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页数：3
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