{"title":"Codebook design for communication in spread and nonspread space-time block codes-based systems","authors":"M. Beko, J. Xavier, V. Barroso","doi":"10.1109/ISWCS.2009.5285271","DOIUrl":null,"url":null,"abstract":"The problem of space-time codebook design for communication in spread and nonspread multiple-antenna wireless systems is addressed and a new methodology for space-time codebook design is proposed. This optimizes the probability of error of the receiver's detector in the high signal-to-noise-ratio (SNR) regime, thus solving a nonlinear non-smooth optimization problem using an iterative method that exploits the Riemannian geometry imposed by the power constraints on the space-time codewords. Computer simulations demonstrate that, for the low SNR regime, our codebooks are marginally better than those provided by state-of-art known solutions. However, for the medium and high SNR regimes, our method provides codes that outperform other known codes.","PeriodicalId":344018,"journal":{"name":"2009 6th International Symposium on Wireless Communication Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 6th International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2009.5285271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The problem of space-time codebook design for communication in spread and nonspread multiple-antenna wireless systems is addressed and a new methodology for space-time codebook design is proposed. This optimizes the probability of error of the receiver's detector in the high signal-to-noise-ratio (SNR) regime, thus solving a nonlinear non-smooth optimization problem using an iterative method that exploits the Riemannian geometry imposed by the power constraints on the space-time codewords. Computer simulations demonstrate that, for the low SNR regime, our codebooks are marginally better than those provided by state-of-art known solutions. However, for the medium and high SNR regimes, our method provides codes that outperform other known codes.