M. R. Zefreh, F. Forghieri, S. Piciaccia, P. Poggiolini
{"title":"长距离色散管理光纤链路的非线性评估","authors":"M. R. Zefreh, F. Forghieri, S. Piciaccia, P. Poggiolini","doi":"10.1109/ICOP49690.2020.9300336","DOIUrl":null,"url":null,"abstract":"The accuracy of both GN and Enhanced GN (EGN) models are investigated for a legacy dispersion-managed ultra-long-haul optical link by comparing its predictions with split-step simulations. The EGN model shows good accuracy in system performance prediction, when signal power depletion and ASE contribution to nonlinear interference (NLI) are considered.","PeriodicalId":131383,"journal":{"name":"2020 Italian Conference on Optics and Photonics (ICOP)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Nonlinearity Assessment in Long Haul Dispersion Managed Fiber Optic Links\",\"authors\":\"M. R. Zefreh, F. Forghieri, S. Piciaccia, P. Poggiolini\",\"doi\":\"10.1109/ICOP49690.2020.9300336\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The accuracy of both GN and Enhanced GN (EGN) models are investigated for a legacy dispersion-managed ultra-long-haul optical link by comparing its predictions with split-step simulations. The EGN model shows good accuracy in system performance prediction, when signal power depletion and ASE contribution to nonlinear interference (NLI) are considered.\",\"PeriodicalId\":131383,\"journal\":{\"name\":\"2020 Italian Conference on Optics and Photonics (ICOP)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Italian Conference on Optics and Photonics (ICOP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOP49690.2020.9300336\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Italian Conference on Optics and Photonics (ICOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOP49690.2020.9300336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonlinearity Assessment in Long Haul Dispersion Managed Fiber Optic Links
The accuracy of both GN and Enhanced GN (EGN) models are investigated for a legacy dispersion-managed ultra-long-haul optical link by comparing its predictions with split-step simulations. The EGN model shows good accuracy in system performance prediction, when signal power depletion and ASE contribution to nonlinear interference (NLI) are considered.