Explainable Machine Learning -enabled Just -enough Margin Configurations in Dynamic S plus C plus L-band Optical Networks

被引：0
|
作者：
Yang, Zeyuan [1 ]
Gu, Rentao [1 ]
Ji, Yuefeng [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Beijing Lab Adv Informat Networks, Beijing, Peoples R China
来源：
2023 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC | 2023年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1364/OFC.2023.Tu2F.3
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 configure an explainable machine learning -enabled just-enough margin for each lightpath in dynamic S+C+L-band optical networks. Explainable decisions improve blocking ratio and spectral efficiency performances by 35.9% and 17.2% compared with the benchmarks. (c) 2022 The Author(s)
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页数：3
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