{"title":"下行多用户MIMO系统的连续迭代优化预编码方法","authors":"Gao Xiangchuan, Fei Xiong, Lei Song","doi":"10.1109/WCSP.2010.5633082","DOIUrl":null,"url":null,"abstract":"Spatial multiplexing in the multi-user MIMO (MU-MIMO) downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and spectral resources. In this paper, we have proposed a successive iterative optimization method based on signal-to-leakage-and-noise-ratio (SLNR) maximization algorithm proposed recently, which has no strict constraint on transmit and receive antennas numbers. Accoding to the simulation results, the proposed method outperforms the original SLNR algorithm and have a considerable improvement in BER performance and system capacity.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"91 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A successive iterative optimization precoding method for downlink multi-user MIMO system\",\"authors\":\"Gao Xiangchuan, Fei Xiong, Lei Song\",\"doi\":\"10.1109/WCSP.2010.5633082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spatial multiplexing in the multi-user MIMO (MU-MIMO) downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and spectral resources. In this paper, we have proposed a successive iterative optimization method based on signal-to-leakage-and-noise-ratio (SLNR) maximization algorithm proposed recently, which has no strict constraint on transmit and receive antennas numbers. Accoding to the simulation results, the proposed method outperforms the original SLNR algorithm and have a considerable improvement in BER performance and system capacity.\",\"PeriodicalId\":448094,\"journal\":{\"name\":\"2010 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"volume\":\"91 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2010.5633082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2010.5633082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A successive iterative optimization precoding method for downlink multi-user MIMO system
Spatial multiplexing in the multi-user MIMO (MU-MIMO) downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and spectral resources. In this paper, we have proposed a successive iterative optimization method based on signal-to-leakage-and-noise-ratio (SLNR) maximization algorithm proposed recently, which has no strict constraint on transmit and receive antennas numbers. Accoding to the simulation results, the proposed method outperforms the original SLNR algorithm and have a considerable improvement in BER performance and system capacity.
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