{"title":"利用统计信道状态信息的自适应下行多用户MISO传输系统","authors":"Xiao Li, Liulei Zhou, Jue Wang, Shi Jin, Xiqi Gao","doi":"10.1109/CHINACOM.2012.6522592","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the ergodic sum rate for multiple-input single-output(MISO) downlink multi-user systems. We assume that each user has perfect channel state information( CSI), while the base station has only statistical CSI of all users. We derive an approximation of the ergodic sum rate. Then, new scheduling and statistical beamforming space division multiple access(SDMA) transmission are derived through maximizing the approximation. The proposed algorithm are shown to perform well.","PeriodicalId":143739,"journal":{"name":"7th International Conference on Communications and Networking in China","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive downlink multi-user MISO transmission systems exploiting statistical channel state information\",\"authors\":\"Xiao Li, Liulei Zhou, Jue Wang, Shi Jin, Xiqi Gao\",\"doi\":\"10.1109/CHINACOM.2012.6522592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the ergodic sum rate for multiple-input single-output(MISO) downlink multi-user systems. We assume that each user has perfect channel state information( CSI), while the base station has only statistical CSI of all users. We derive an approximation of the ergodic sum rate. Then, new scheduling and statistical beamforming space division multiple access(SDMA) transmission are derived through maximizing the approximation. The proposed algorithm are shown to perform well.\",\"PeriodicalId\":143739,\"journal\":{\"name\":\"7th International Conference on Communications and Networking in China\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"7th International Conference on Communications and Networking in China\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CHINACOM.2012.6522592\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Conference on Communications and Networking in China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CHINACOM.2012.6522592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive downlink multi-user MISO transmission systems exploiting statistical channel state information
In this paper, we investigate the ergodic sum rate for multiple-input single-output(MISO) downlink multi-user systems. We assume that each user has perfect channel state information( CSI), while the base station has only statistical CSI of all users. We derive an approximation of the ergodic sum rate. Then, new scheduling and statistical beamforming space division multiple access(SDMA) transmission are derived through maximizing the approximation. The proposed algorithm are shown to perform well.
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