Digital twin-enabled Power Optimizer for Multi-span Transmission System Using Autoencoder

被引：0
|
作者：
Li, Shengnan [1 ]
Wang, Danshi [1 ]
Song, Yuchen [1 ]
Fan, Qirui [2 ]
Zhang, Min [1 ]
Lu, Chao [3 ]
Lau, Alan Pak Tao [2 ]
机构：
[1] Beijing Univ Posts & Telecommun BUPT, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
[2] Hong Kong Polytech Univ, Photon Res Ctr, Hung Hom, Dept Elect Engn,Kowloon, Hong Kong, Peoples R China
[3] Hong Kong Polytech Univ, Photon Res Ctr, Hung Hom, Dept Elect & Informat Engn,Kowloon, Hong Kong, Peoples R China
来源：
2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2021年
基金：
中国国家自然科学基金;
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：
A digital twin-enabled technique is proposed for multi-span system to build a neural network-based power prediction model and an autoencoder-based power optimization model achieve flexible output spectrum profile control. (c) 2021
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页数：3
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