{"title":"A novel volume-based scheduling scheme for multiuser multiple-input multiple-output downlink system","authors":"L. Jin, X. Gu, Z. Hu","doi":"10.1109/RWS.2010.5434166","DOIUrl":null,"url":null,"abstract":"A new volume-based scheduling algorithm for user selection is proposed for a multiuser multiple-input and multiple-output downlink system based on block diagonalization precoding. The proposed algorithm has the advantage of the reduced computational complexity achieved by using the new volume-based user selection method that uses the product of the diagonal elements in the upper-triangular matrix obtained via Householder reduction procedure of QR factorization to the selected users channel matrix. The new algorithm provides the same sum-rate capacity in comparison with other user selection algorithms, such as semi-orthogonal user selection and capacity-based user selection algorithms, but with significantly reduced complexity.","PeriodicalId":334671,"journal":{"name":"2010 IEEE Radio and Wireless Symposium (RWS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Radio and Wireless Symposium (RWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2010.5434166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A new volume-based scheduling algorithm for user selection is proposed for a multiuser multiple-input and multiple-output downlink system based on block diagonalization precoding. The proposed algorithm has the advantage of the reduced computational complexity achieved by using the new volume-based user selection method that uses the product of the diagonal elements in the upper-triangular matrix obtained via Householder reduction procedure of QR factorization to the selected users channel matrix. The new algorithm provides the same sum-rate capacity in comparison with other user selection algorithms, such as semi-orthogonal user selection and capacity-based user selection algorithms, but with significantly reduced complexity.