{"title":"基于神经网络的数据中心网络中光纤非线性畸变的抑制","authors":"M. M. T. Maghrabi, Shiva Kumar, M. Bakr","doi":"10.1109/PN.2018.8438620","DOIUrl":null,"url":null,"abstract":"This work presents a novel electrical equalization technique for mitigating the nonlinear distortions adhered to the received signals in data center networks. These distortions are due to the combination of the chromatic dispersion induced by the optical fiber channel and the direct detection system. An Artificial Neural Network (ANN) is trained to reverse the combined effect of the chromatic dispersion and direct detection.","PeriodicalId":423625,"journal":{"name":"2018 Photonics North (PN)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ANN-Based Mitigation of Optical Fiber Nonlinear Distortions in Data Center Networks\",\"authors\":\"M. M. T. Maghrabi, Shiva Kumar, M. Bakr\",\"doi\":\"10.1109/PN.2018.8438620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a novel electrical equalization technique for mitigating the nonlinear distortions adhered to the received signals in data center networks. These distortions are due to the combination of the chromatic dispersion induced by the optical fiber channel and the direct detection system. An Artificial Neural Network (ANN) is trained to reverse the combined effect of the chromatic dispersion and direct detection.\",\"PeriodicalId\":423625,\"journal\":{\"name\":\"2018 Photonics North (PN)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Photonics North (PN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PN.2018.8438620\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Photonics North (PN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PN.2018.8438620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ANN-Based Mitigation of Optical Fiber Nonlinear Distortions in Data Center Networks
This work presents a novel electrical equalization technique for mitigating the nonlinear distortions adhered to the received signals in data center networks. These distortions are due to the combination of the chromatic dispersion induced by the optical fiber channel and the direct detection system. An Artificial Neural Network (ANN) is trained to reverse the combined effect of the chromatic dispersion and direct detection.