Yibin Wa, Bo Liu, Yaya Mao, Jianxin Ren, Shuaidong Chen, Xiangyu Wu, Xuanling Liu
{"title":"Probabilistically shaped CAP based on group-level labeling and graphene-shaped constellation","authors":"Yibin Wa, Bo Liu, Yaya Mao, Jianxin Ren, Shuaidong Chen, Xiangyu Wu, Xuanling Liu","doi":"10.1109/ICOCN55511.2022.9901100","DOIUrl":null,"url":null,"abstract":"This paper presents a probabilistically shaped (PS) carrier-less amplitude phase (CAP) modulation scheme enabled by group-level labeling and graphene-shaped constellation. A 9.8 Gb/s graphene-shaped PS 32-to-24 CAP transmission experiment over a 25-km standard single-mode fiber is successfully demonstrated. The results validates that our scheme can achieve a 1.8 dB receiver sensitivity improvement compared with the uniform CAP-32 signal due to the probabilistic and geometric shaping gain.","PeriodicalId":350271,"journal":{"name":"2022 20th International Conference on Optical Communications and Networks (ICOCN)","volume":"13 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/ICOCN55511.2022.9901100","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
This paper presents a probabilistically shaped (PS) carrier-less amplitude phase (CAP) modulation scheme enabled by group-level labeling and graphene-shaped constellation. A 9.8 Gb/s graphene-shaped PS 32-to-24 CAP transmission experiment over a 25-km standard single-mode fiber is successfully demonstrated. The results validates that our scheme can achieve a 1.8 dB receiver sensitivity improvement compared with the uniform CAP-32 signal due to the probabilistic and geometric shaping gain.