{"title":"基于势博弈的认知无线电动态频谱分配算法","authors":"Hongshun Zhang, Xiao-feng Yan","doi":"10.1109/IEEC.2010.5533255","DOIUrl":null,"url":null,"abstract":"Potential game and no-regret learning game based on game theory model of cognitive radio have been analyzed. According to these algorithms, the mathematic model of advanced dynamic spectrum allocation algorithm based on potential game has been brought forward. Finally, the simulations of these algorithms have been proved that advanced dynamic spectrum allocation algorithm based on potential game has the best capacity performance. However, how to reduce the allocation cost when allocating spectrum is also a considerable problem.","PeriodicalId":307678,"journal":{"name":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Advanced Dynamic Spectrum Allocation Algorithm Based on Potential Game for Cognitive Radio\",\"authors\":\"Hongshun Zhang, Xiao-feng Yan\",\"doi\":\"10.1109/IEEC.2010.5533255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Potential game and no-regret learning game based on game theory model of cognitive radio have been analyzed. According to these algorithms, the mathematic model of advanced dynamic spectrum allocation algorithm based on potential game has been brought forward. Finally, the simulations of these algorithms have been proved that advanced dynamic spectrum allocation algorithm based on potential game has the best capacity performance. However, how to reduce the allocation cost when allocating spectrum is also a considerable problem.\",\"PeriodicalId\":307678,\"journal\":{\"name\":\"2010 2nd International Symposium on Information Engineering and Electronic Commerce\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Symposium on Information Engineering and Electronic Commerce\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEC.2010.5533255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEC.2010.5533255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advanced Dynamic Spectrum Allocation Algorithm Based on Potential Game for Cognitive Radio
Potential game and no-regret learning game based on game theory model of cognitive radio have been analyzed. According to these algorithms, the mathematic model of advanced dynamic spectrum allocation algorithm based on potential game has been brought forward. Finally, the simulations of these algorithms have been proved that advanced dynamic spectrum allocation algorithm based on potential game has the best capacity performance. However, how to reduce the allocation cost when allocating spectrum is also a considerable problem.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
