{"title":"利用信息瓶颈法构造极坐标代码","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":"{\"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}","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}
Polar code construction using the information bottleneck method
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.