{"title":"Dimensionality reduction for the golden code with worst-case decoding complexity of O(m2)","authors":"S. Kahraman, M. Çelebi","doi":"10.1109/ISWCS.2011.6125384","DOIUrl":null,"url":null,"abstract":"In this paper we introduce an efficient decoding method which is based on the dimensionality reduction of the sphere decoder search tree for the golden code. A codeword of the golden code has four independent m-QAM data symbols, hence, the required complexity of the exhaustive-search decoder is m4. An efficient implementation of the maximum-likelihood decoder for the golden code with a worst-case complexity is known to be proportional to m2.5. Our motivation is for an efficient decoder with a worst-case complexity of no more than m2.5. In this purpose, we show that our proposed method has m2 complexity in the worst-case with a loss of only 1 dB with respect to optimal decoding.","PeriodicalId":414065,"journal":{"name":"2011 8th International Symposium on Wireless Communication Systems","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 8th International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2011.6125384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
In this paper we introduce an efficient decoding method which is based on the dimensionality reduction of the sphere decoder search tree for the golden code. A codeword of the golden code has four independent m-QAM data symbols, hence, the required complexity of the exhaustive-search decoder is m4. An efficient implementation of the maximum-likelihood decoder for the golden code with a worst-case complexity is known to be proportional to m2.5. Our motivation is for an efficient decoder with a worst-case complexity of no more than m2.5. In this purpose, we show that our proposed method has m2 complexity in the worst-case with a loss of only 1 dB with respect to optimal decoding.