{"title":"Extrinsic versus a Posteriori Probability based iterative LMMSE-IC algorithms for coded MIMO communications: Performance and analysis","authors":"Baozhu Ning, R. Visoz, A. Berthet","doi":"10.1109/ISWCS.2012.6328395","DOIUrl":null,"url":null,"abstract":"Several studies dealing with iterative Linear Minimum Mean Square Error Interference Cancellation (LMMSEIC) algorithms have concluded that better performances are obtained when soft interference cancellation is performed using Log a Posteriori Probability Ratios (LAPPRs) on coded bits rather than Log Extrinsic Probability Ratios (LEXTPRs) on coded bits. While LMMSE-IC can be rigorously derived and analyzed when it is based on LEXTPRs, things become more complicated when it relies on LAPPRs. The aim of this paper is twofold: (1) Emphasize the underlying assumptions needed for the derivation of (iterative) LAPPR based LMMSE-IC, (2) Propose an improved performance prediction method (or physical layer abstraction) robust when these assumptions do not hold. The latter contribution is a cornerstone for cross-layer design and optimization in presence of advanced turbo receivers in 3GPP.","PeriodicalId":167119,"journal":{"name":"2012 International Symposium on Wireless Communication Systems (ISWCS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Symposium on Wireless Communication Systems (ISWCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2012.6328395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Several studies dealing with iterative Linear Minimum Mean Square Error Interference Cancellation (LMMSEIC) algorithms have concluded that better performances are obtained when soft interference cancellation is performed using Log a Posteriori Probability Ratios (LAPPRs) on coded bits rather than Log Extrinsic Probability Ratios (LEXTPRs) on coded bits. While LMMSE-IC can be rigorously derived and analyzed when it is based on LEXTPRs, things become more complicated when it relies on LAPPRs. The aim of this paper is twofold: (1) Emphasize the underlying assumptions needed for the derivation of (iterative) LAPPR based LMMSE-IC, (2) Propose an improved performance prediction method (or physical layer abstraction) robust when these assumptions do not hold. The latter contribution is a cornerstone for cross-layer design and optimization in presence of advanced turbo receivers in 3GPP.
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