{"title":"具有小区外干扰抑制的MIMO W-CDMA的LMMSE信道估计","authors":"R. Tresch, C. Mehlführer, M. Guillaud","doi":"10.1109/ACSSC.2008.5074419","DOIUrl":null,"url":null,"abstract":"An LMMSE channel estimator is proposed for the downlink of a MIMO W-CDMA system. The estimation takes into account intra-cell and out-of-cell interference, as well as receive-side spatial correlation. Efficient numerical methods are applied to solve the resulting large block Toeplitz linear equation sets. Various simplifying assumptions about the prior knowledge of second-order statistics used by the estimator are investigated, providing a performance vs. complexity tradeoff. Link level simulation results of a MIMO HSDPA system show that LMMSE channel estimation together with out-of-cell interference-aware equalization yield performance throughput gains of up to 30% over a correlation based channel estimator.","PeriodicalId":416114,"journal":{"name":"2008 42nd Asilomar Conference on Signals, Systems and Computers","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"LMMSE channel estimation for MIMO W-CDMA with out-of-cell interference mitigation\",\"authors\":\"R. Tresch, C. Mehlführer, M. Guillaud\",\"doi\":\"10.1109/ACSSC.2008.5074419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An LMMSE channel estimator is proposed for the downlink of a MIMO W-CDMA system. The estimation takes into account intra-cell and out-of-cell interference, as well as receive-side spatial correlation. Efficient numerical methods are applied to solve the resulting large block Toeplitz linear equation sets. Various simplifying assumptions about the prior knowledge of second-order statistics used by the estimator are investigated, providing a performance vs. complexity tradeoff. Link level simulation results of a MIMO HSDPA system show that LMMSE channel estimation together with out-of-cell interference-aware equalization yield performance throughput gains of up to 30% over a correlation based channel estimator.\",\"PeriodicalId\":416114,\"journal\":{\"name\":\"2008 42nd Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 42nd Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2008.5074419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 42nd Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2008.5074419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LMMSE channel estimation for MIMO W-CDMA with out-of-cell interference mitigation
An LMMSE channel estimator is proposed for the downlink of a MIMO W-CDMA system. The estimation takes into account intra-cell and out-of-cell interference, as well as receive-side spatial correlation. Efficient numerical methods are applied to solve the resulting large block Toeplitz linear equation sets. Various simplifying assumptions about the prior knowledge of second-order statistics used by the estimator are investigated, providing a performance vs. complexity tradeoff. Link level simulation results of a MIMO HSDPA system show that LMMSE channel estimation together with out-of-cell interference-aware equalization yield performance throughput gains of up to 30% over a correlation based channel estimator.