{"title":"An ultra-fast method for gain and noise prediction of Raman amplifiers","authors":"A. M. R. Brusin, V. Curri, D. Zibar, A. Carena","doi":"10.1049/cp.2019.0976","DOIUrl":null,"url":null,"abstract":"A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE < 0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.","PeriodicalId":6826,"journal":{"name":"45th European Conference on Optical Communication (ECOC 2019)","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"45th European Conference on Optical Communication (ECOC 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/cp.2019.0976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE < 0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.
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