{"title":"Successive precoding and user selection in MU-MIMO broadcast channel with limited feedback","authors":"Long Chen, Zhi Chen, Li Liu, Bin Fu","doi":"10.1109/WTS.2014.6835025","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a joint successive pre-coding and user selection algorithm in multi-user multiple-input multiple-output (MIMO) broadcast channel with limited feedback. The proposed scheme recalculates each user's best precoding vector by projecting the original precoding vector, which is obtained by limited feedback, onto the orthogonal complement space of the precoding vectors of the selected users. The base station (BS) then calculates the estimated signal-to-interference-plus-noise ratio (SINR) for each unselected user using the best precoding vector, and choose the one with the largest SINR. Numerical results illustrate the performance of the scheme.","PeriodicalId":199195,"journal":{"name":"2014 Wireless Telecommunications Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Wireless Telecommunications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WTS.2014.6835025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, we propose a joint successive pre-coding and user selection algorithm in multi-user multiple-input multiple-output (MIMO) broadcast channel with limited feedback. The proposed scheme recalculates each user's best precoding vector by projecting the original precoding vector, which is obtained by limited feedback, onto the orthogonal complement space of the precoding vectors of the selected users. The base station (BS) then calculates the estimated signal-to-interference-plus-noise ratio (SINR) for each unselected user using the best precoding vector, and choose the one with the largest SINR. Numerical results illustrate the performance of the scheme.
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