{"title":"多用户MIMO-OFDM系统中功率优化和用户调度的性能分析","authors":"J. Hang, Z. Fan, Feng She","doi":"10.1109/ICICISYS.2009.5358171","DOIUrl":null,"url":null,"abstract":"This paper deals with the design and analysis of joint user scheduling and power optimization for multiantenna OFDM systems with DPC, ZF-DPC, ZFBF and TDMA transmit strategies. We consider the general multiuser downlink scheduling problem with multiuser rate constraints. We given the power duality relationship between downlink and uplink. Based on channel state information, we present joint user selection algorithms, and we also accordingly give the power optimization algorithm with rate constraints. Simulation results show that the presented user scheduling and power minimization algorithms can achieve good performance, at the same time, the algorithms can also guarantee fairness among users.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"47 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Performance analysis of power optimization and user scheduling in multi-user MIMO-OFDM systems\",\"authors\":\"J. Hang, Z. Fan, Feng She\",\"doi\":\"10.1109/ICICISYS.2009.5358171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the design and analysis of joint user scheduling and power optimization for multiantenna OFDM systems with DPC, ZF-DPC, ZFBF and TDMA transmit strategies. We consider the general multiuser downlink scheduling problem with multiuser rate constraints. We given the power duality relationship between downlink and uplink. Based on channel state information, we present joint user selection algorithms, and we also accordingly give the power optimization algorithm with rate constraints. Simulation results show that the presented user scheduling and power minimization algorithms can achieve good performance, at the same time, the algorithms can also guarantee fairness among users.\",\"PeriodicalId\":206575,\"journal\":{\"name\":\"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"volume\":\"47 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICISYS.2009.5358171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2009.5358171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance analysis of power optimization and user scheduling in multi-user MIMO-OFDM systems
This paper deals with the design and analysis of joint user scheduling and power optimization for multiantenna OFDM systems with DPC, ZF-DPC, ZFBF and TDMA transmit strategies. We consider the general multiuser downlink scheduling problem with multiuser rate constraints. We given the power duality relationship between downlink and uplink. Based on channel state information, we present joint user selection algorithms, and we also accordingly give the power optimization algorithm with rate constraints. Simulation results show that the presented user scheduling and power minimization algorithms can achieve good performance, at the same time, the algorithms can also guarantee fairness among users.