{"title":"Piecewise Feedforward Neural Network Based Nonlinear Equalizer for Short-Reach DML-DD System","authors":"Qi Wu, Yixiao Zhu, Weisheng Hu","doi":"10.1109/ICOCN53177.2021.9563682","DOIUrl":null,"url":null,"abstract":"We propose a targeted piecewise feedforward neural network (PW-FNN) to mitigate both the linear and nonlinear distortions in intensity modulation direct detection (IM-DD) system based on direct modulated laser (DML). By this equalizer, a 56Gbit/s pulse amplitude modulation (PAM)-4 transmission over 30km standard single-mode fiber (SSMF) is experimentally demonstrated with a 16.8GHz DML with bit error rate (BER) below 7% hard-decision forward error correction (HD-FEC) threshold of 3.8 × 10−3. Compared with Volttera and traditional FNN equalizer, the proposed PW-FNN equalizer exhibits more than 2dB receiver sensitivity improvement. The experimental results validate that the proposed PW-FNN can be a promising solution for short reach DML-based IM-DD system.","PeriodicalId":6756,"journal":{"name":"2021 19th International Conference on Optical Communications and Networks (ICOCN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 19th International Conference on Optical Communications and Networks (ICOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCN53177.2021.9563682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
We propose a targeted piecewise feedforward neural network (PW-FNN) to mitigate both the linear and nonlinear distortions in intensity modulation direct detection (IM-DD) system based on direct modulated laser (DML). By this equalizer, a 56Gbit/s pulse amplitude modulation (PAM)-4 transmission over 30km standard single-mode fiber (SSMF) is experimentally demonstrated with a 16.8GHz DML with bit error rate (BER) below 7% hard-decision forward error correction (HD-FEC) threshold of 3.8 × 10−3. Compared with Volttera and traditional FNN equalizer, the proposed PW-FNN equalizer exhibits more than 2dB receiver sensitivity improvement. The experimental results validate that the proposed PW-FNN can be a promising solution for short reach DML-based IM-DD system.
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