{"title":"Multi-objective cooperative algorithms based on game theory in cognitive radio","authors":"Ye Zhihui, Shen Ke-qin","doi":"10.1109/WCSP.2009.5371656","DOIUrl":null,"url":null,"abstract":"A Multi-objective function cooperative algorithm based on non-collaboration game and Nash equilibrium is designed, which combines Maximum Bandwidth Profitability with Maximum Proportional Fairness. As applied in cognitive radio environment, the proposed algorithm can win trade-off between fairness and bandwidth profit, and realize effective spectrum distribution.","PeriodicalId":244652,"journal":{"name":"2009 International Conference on Wireless Communications & Signal Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wireless Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2009.5371656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A Multi-objective function cooperative algorithm based on non-collaboration game and Nash equilibrium is designed, which combines Maximum Bandwidth Profitability with Maximum Proportional Fairness. As applied in cognitive radio environment, the proposed algorithm can win trade-off between fairness and bandwidth profit, and realize effective spectrum distribution.