{"title":"相关无线信道上的半盲干扰对准","authors":"Manato Takai, K. Ishibashi, T. Wada","doi":"10.1109/RWS.2014.6830100","DOIUrl":null,"url":null,"abstract":"Semi-blind interference alignment (S-BIA) is a recently proposed interference cancellation technique on multiuser channels. S-BIA aligns interference signals with a given signal space by controlling transmit weights based on partial knowledge of channel coefficients. In this paper, we mathematically analyze the impact of channel correlation and numerically show that S-BIA is more robust against the channel correlation than ordinary multiple-input multiple-output (MIMO) systems.","PeriodicalId":247495,"journal":{"name":"2014 IEEE Radio and Wireless Symposium (RWS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semi-blind interference alignment over correlated wireless channels\",\"authors\":\"Manato Takai, K. Ishibashi, T. Wada\",\"doi\":\"10.1109/RWS.2014.6830100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Semi-blind interference alignment (S-BIA) is a recently proposed interference cancellation technique on multiuser channels. S-BIA aligns interference signals with a given signal space by controlling transmit weights based on partial knowledge of channel coefficients. In this paper, we mathematically analyze the impact of channel correlation and numerically show that S-BIA is more robust against the channel correlation than ordinary multiple-input multiple-output (MIMO) systems.\",\"PeriodicalId\":247495,\"journal\":{\"name\":\"2014 IEEE Radio and Wireless Symposium (RWS)\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Radio and Wireless Symposium (RWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RWS.2014.6830100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Radio and Wireless Symposium (RWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2014.6830100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semi-blind interference alignment over correlated wireless channels
Semi-blind interference alignment (S-BIA) is a recently proposed interference cancellation technique on multiuser channels. S-BIA aligns interference signals with a given signal space by controlling transmit weights based on partial knowledge of channel coefficients. In this paper, we mathematically analyze the impact of channel correlation and numerically show that S-BIA is more robust against the channel correlation than ordinary multiple-input multiple-output (MIMO) systems.