{"title":"高斯z -干扰信道引发的信息不平等","authors":"A. Gohari, Chandra Nair, David Ng","doi":"10.1109/ISIT45174.2021.9518133","DOIUrl":null,"url":null,"abstract":"We establish an information inequality that is motivated by the capacity region computation for the Gaussian Z-interference channel. This yields an improved slope for the capacity region at Costa's corner point. We believe the inequality may also be of independent interest as it provides a non-trivial upper bound on the entropy of sums of independent random variables.","PeriodicalId":299118,"journal":{"name":"2021 IEEE International Symposium on Information Theory (ISIT)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"An Information Inequality Motivated by the Gaussian Z-Interference Channel\",\"authors\":\"A. Gohari, Chandra Nair, David Ng\",\"doi\":\"10.1109/ISIT45174.2021.9518133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We establish an information inequality that is motivated by the capacity region computation for the Gaussian Z-interference channel. This yields an improved slope for the capacity region at Costa's corner point. We believe the inequality may also be of independent interest as it provides a non-trivial upper bound on the entropy of sums of independent random variables.\",\"PeriodicalId\":299118,\"journal\":{\"name\":\"2021 IEEE International Symposium on Information Theory (ISIT)\",\"volume\":\"216 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Symposium on Information Theory (ISIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT45174.2021.9518133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Information Theory (ISIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT45174.2021.9518133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Information Inequality Motivated by the Gaussian Z-Interference Channel
We establish an information inequality that is motivated by the capacity region computation for the Gaussian Z-interference channel. This yields an improved slope for the capacity region at Costa's corner point. We believe the inequality may also be of independent interest as it provides a non-trivial upper bound on the entropy of sums of independent random variables.
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