{"title":"Joint Modeling Based on The First-Order Perturbation Theory and Neural Network","authors":"Haifeng Yang, Yongjun Wang, Chao Li, Xianda Ren, Qi Zhang","doi":"10.1109/ICOCN55511.2022.9901318","DOIUrl":null,"url":null,"abstract":"In this paper, we use the first-order perturbation theory and neural network to jointly model the intra-channel nonlinearity. The 120 Gb/s signal of dual-polarization 64- quadrature-amplitude-modulation (64-QAM) is used to verify.","PeriodicalId":350271,"journal":{"name":"2022 20th International Conference on Optical Communications and Networks (ICOCN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 20th International Conference on Optical Communications and Networks (ICOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCN55511.2022.9901318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we use the first-order perturbation theory and neural network to jointly model the intra-channel nonlinearity. The 120 Gb/s signal of dual-polarization 64- quadrature-amplitude-modulation (64-QAM) is used to verify.