{"title":"Polar code construction using the information bottleneck method","authors":"Maximilian Stark, Syed Aizaz Ali Shah, G. Bauch","doi":"10.1109/WCNCW.2018.8368978","DOIUrl":null,"url":null,"abstract":"The provably capacity-achieving error-correction capability of polar codes prospered huge interest in academia and industry. The explicit structure of polar codes leads to a different notion of code construction which refers to the assignment of information bits to certain positions in that structure instead of the design of the structure itself. State-of-the-art construction methods either rely on approximations or are computationally demanding to achieve an optimum assignment of the information bits. In this paper, we propose a novel construction technique which leverages the information bottleneck method to combine information-optimum construction and less complex, tractable processing of the required joint distributions. Furthermore, we consider the effect of a low-resolution channel quantizer explicitly in the code design which ensures applicability of the constructed code also in practically relevant settings.","PeriodicalId":122391,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNCW.2018.8368978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
The provably capacity-achieving error-correction capability of polar codes prospered huge interest in academia and industry. The explicit structure of polar codes leads to a different notion of code construction which refers to the assignment of information bits to certain positions in that structure instead of the design of the structure itself. State-of-the-art construction methods either rely on approximations or are computationally demanding to achieve an optimum assignment of the information bits. In this paper, we propose a novel construction technique which leverages the information bottleneck method to combine information-optimum construction and less complex, tractable processing of the required joint distributions. Furthermore, we consider the effect of a low-resolution channel quantizer explicitly in the code design which ensures applicability of the constructed code also in practically relevant settings.