{"title":"A Hardware-Friendly Nonlinearity Equalizer via Random Forest Model","authors":"Gang Feng, Yongjun Wang, Chao Li, Jinwang Bai, Qi Zhang, Feng Tian","doi":"10.1109/ICOCN55511.2022.9901022","DOIUrl":null,"url":null,"abstract":"In this paper, a random forest model based nonlinearity equalizer for coherent optical communication system is proposed. The experimental results show that this is a hardware-friendly equalizer.","PeriodicalId":350271,"journal":{"name":"2022 20th International Conference on Optical Communications and Networks (ICOCN)","volume":"16 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/ICOCN55511.2022.9901022","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, a random forest model based nonlinearity equalizer for coherent optical communication system is proposed. The experimental results show that this is a hardware-friendly equalizer.