{"title":"高阶QAM的概率成形效益及实用性","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":"{\"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}","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}
Probabilistic shaping benefits and practicality for higher-order QAM
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.
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