Yicheng Lin, Wenbo Wang, Jiong Shi, Li Wang, Lan Shao
{"title":"Resource allocation for OFDMA downlink with per-user MCS constraint","authors":"Yicheng Lin, Wenbo Wang, Jiong Shi, Li Wang, Lan Shao","doi":"10.1109/YCICT.2009.5382373","DOIUrl":null,"url":null,"abstract":"In this paper, we study the resource allocation problem in the downlink of an OFDMA system. Taking into account the constraint that each user can be assigned only one modulation and coding scheme (MCS), our goal is to maximize the system utility, which can be either the sum rate of users or certain fairness metric. The joint subcarrier, rate, and power allocation problem is formulated, and a straightforward suboptimal algorithm is proposed to solve this problem efficiently. Through computer simulation, our proposed algorithm is verified to be better in performance compared to the existing ones.","PeriodicalId":138803,"journal":{"name":"2009 IEEE Youth Conference on Information, Computing and Telecommunication","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Youth Conference on Information, Computing and Telecommunication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2009.5382373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we study the resource allocation problem in the downlink of an OFDMA system. Taking into account the constraint that each user can be assigned only one modulation and coding scheme (MCS), our goal is to maximize the system utility, which can be either the sum rate of users or certain fairness metric. The joint subcarrier, rate, and power allocation problem is formulated, and a straightforward suboptimal algorithm is proposed to solve this problem efficiently. Through computer simulation, our proposed algorithm is verified to be better in performance compared to the existing ones.