{"title":"Precoding of orthogonal STBC with channel covariance feedback for minimum error probability","authors":"Yi Zhao, R. Adve, Teng Joon Lim","doi":"10.1109/PIMRC.2004.1370922","DOIUrl":null,"url":null,"abstract":"This paper develops the linear transformation (or precoding) of orthogonal space-time block codes (STBC) for minimizing probability of decoding error, when the channel covariance matrix is available at the transmitter. We build on recent work that stated the optimization problem without solving for the transformation. Specifically, we provide a closed-form solution for the multi-input single-output (MISO) systems, and a numerical solution for the multi-input multi-output (MIMO) systems. Our results confirm that eigen-beamforming is optimal at low SNR or highly correlated channels, and full diversity is optimal at high SNR or weakly correlated channels.","PeriodicalId":201962,"journal":{"name":"2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2004.1370922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
This paper develops the linear transformation (or precoding) of orthogonal space-time block codes (STBC) for minimizing probability of decoding error, when the channel covariance matrix is available at the transmitter. We build on recent work that stated the optimization problem without solving for the transformation. Specifically, we provide a closed-form solution for the multi-input single-output (MISO) systems, and a numerical solution for the multi-input multi-output (MIMO) systems. Our results confirm that eigen-beamforming is optimal at low SNR or highly correlated channels, and full diversity is optimal at high SNR or weakly correlated channels.