{"title":"MIMO-OFDMA系统中一种有效的比例资源分配算法","authors":"Jie Zhao, Youming Li","doi":"10.1109/GMC.2011.6103909","DOIUrl":null,"url":null,"abstract":"Dynamic resource allocation (DRA) in MIMO-OFDMA systems supporting multiple services is studied. A low complexity linear algorithm based on solving an RA optimization problem subject to an additional proportional fairness constraint is developed. Computer simulation results demonstrate that the proposed algorithm performs well, and the proportionality of rate among the users approaches the proportional rate constraint as the increasing of the available subcarriers. Furthermore, it has a lower computational complexity.","PeriodicalId":435824,"journal":{"name":"2011 Global Mobile Congress","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An efficient proportional resource allocation algorithm in MIMO-OFDMA systems\",\"authors\":\"Jie Zhao, Youming Li\",\"doi\":\"10.1109/GMC.2011.6103909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic resource allocation (DRA) in MIMO-OFDMA systems supporting multiple services is studied. A low complexity linear algorithm based on solving an RA optimization problem subject to an additional proportional fairness constraint is developed. Computer simulation results demonstrate that the proposed algorithm performs well, and the proportionality of rate among the users approaches the proportional rate constraint as the increasing of the available subcarriers. Furthermore, it has a lower computational complexity.\",\"PeriodicalId\":435824,\"journal\":{\"name\":\"2011 Global Mobile Congress\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Global Mobile Congress\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GMC.2011.6103909\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Global Mobile Congress","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GMC.2011.6103909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient proportional resource allocation algorithm in MIMO-OFDMA systems
Dynamic resource allocation (DRA) in MIMO-OFDMA systems supporting multiple services is studied. A low complexity linear algorithm based on solving an RA optimization problem subject to an additional proportional fairness constraint is developed. Computer simulation results demonstrate that the proposed algorithm performs well, and the proportionality of rate among the users approaches the proportional rate constraint as the increasing of the available subcarriers. Furthermore, it has a lower computational complexity.