{"title":"Probabilistic shaping benefits and practicality for higher-order QAM","authors":"Georg Böcherer, P. Schulte, Fabian Steiner","doi":"10.1109/IPCON.2017.8116018","DOIUrl":null,"url":null,"abstract":"Probabilistic shaping schemes and their benefits are reviewed. Probabilistic Amplitude Shaping (PAS) is presented, a layered architecture currently considered for industrial applications. Implementation challenges and proposed solutions are discussed, including distribution matching algorithms for shaping, integration with forward error correction, and digital signal processing.","PeriodicalId":6657,"journal":{"name":"2017 IEEE Photonics Conference (IPC) Part II","volume":"67 1","pages":"93-93"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Photonics Conference (IPC) Part II","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPCON.2017.8116018","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
Probabilistic shaping schemes and their benefits are reviewed. Probabilistic Amplitude Shaping (PAS) is presented, a layered architecture currently considered for industrial applications. Implementation challenges and proposed solutions are discussed, including distribution matching algorithms for shaping, integration with forward error correction, and digital signal processing.