{"title":"多用户MIMO信道均衡联合收发器设计","authors":"Baris Yuksekkaya, C. Toker","doi":"10.1109/SIU.2010.5650423","DOIUrl":null,"url":null,"abstract":"In this paper, joint transmitter receiver filter optimization for channel equalization is investigated for a multiuser multiple input multiple output frequency selective slowly varying channel. Minimum mean square error criterion is used in the equalization under a total transmit power constraint. Because of the simplicity of the optimization of multiple access channel, channel duality is used for the optimization and the solution is transformed to the broadcast, interference, and MIMO channels.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"73 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint transceiver design for multiuser MIMO channel equalization\",\"authors\":\"Baris Yuksekkaya, C. Toker\",\"doi\":\"10.1109/SIU.2010.5650423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, joint transmitter receiver filter optimization for channel equalization is investigated for a multiuser multiple input multiple output frequency selective slowly varying channel. Minimum mean square error criterion is used in the equalization under a total transmit power constraint. Because of the simplicity of the optimization of multiple access channel, channel duality is used for the optimization and the solution is transformed to the broadcast, interference, and MIMO channels.\",\"PeriodicalId\":152297,\"journal\":{\"name\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"volume\":\"73 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2010.5650423\",\"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 IEEE 18th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2010.5650423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint transceiver design for multiuser MIMO channel equalization
In this paper, joint transmitter receiver filter optimization for channel equalization is investigated for a multiuser multiple input multiple output frequency selective slowly varying channel. Minimum mean square error criterion is used in the equalization under a total transmit power constraint. Because of the simplicity of the optimization of multiple access channel, channel duality is used for the optimization and the solution is transformed to the broadcast, interference, and MIMO channels.
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