{"title":"A greedy algorithm for cognitive network resource allocation based on minimum remaining constraint space","authors":"Yuehuai Ma, Youyun Xu, Y. Sheng","doi":"10.1109/WCSP.2009.5371627","DOIUrl":null,"url":null,"abstract":"The problem of resource allocation for multiuser OFDM based cognitive network is studied. A new greedy algorithm based on minimum remaining constraint space (MRCS) is proposed to allocate subcarrier, power and bit efficiently. Both active frequency bands occupied by primary users and spectrum holes can be used by cognitive users, as long as the interferences introduced by cognitive users to primary users below a certain threshold. Simulation results show that the proposed algorithm is fit for the practical environment and has better performance than other existing allocation algorithms.","PeriodicalId":244652,"journal":{"name":"2009 International Conference on Wireless Communications & Signal Processing","volume":"216 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wireless Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2009.5371627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The problem of resource allocation for multiuser OFDM based cognitive network is studied. A new greedy algorithm based on minimum remaining constraint space (MRCS) is proposed to allocate subcarrier, power and bit efficiently. Both active frequency bands occupied by primary users and spectrum holes can be used by cognitive users, as long as the interferences introduced by cognitive users to primary users below a certain threshold. Simulation results show that the proposed algorithm is fit for the practical environment and has better performance than other existing allocation algorithms.
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