{"title":"基于势博弈论的协同超宽带网络自适应功率控制","authors":"Fangmin Xu, Luyong Zhang, Zheng Zhou, Qilian Liang","doi":"10.1109/WCNC.2007.305","DOIUrl":null,"url":null,"abstract":"A novel framework is proposed to introduce the game theory into power control in UWB network. Firstly, the power control problem is modeled as a cooperation potential game. Secondly, a novel utility function and potential function are introduced for UWB network. Finally, the process of power control is expressed as the process of maximum potential function for each active link. For the application of the framework, a new algorithm is also proposed. The algorithm converges to an exact Nash equilibrium by the theoretical proving. Through the simulation which compares the performance of our algorithm and the traditional scheme, the result shows that our algorithm performed better in both convergence and fairness, and also saved power consumed.","PeriodicalId":292621,"journal":{"name":"2007 IEEE Wireless Communications and Networking Conference","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Adaptive Power Control for Cooperative UWB Network Using Potential Game Theory\",\"authors\":\"Fangmin Xu, Luyong Zhang, Zheng Zhou, Qilian Liang\",\"doi\":\"10.1109/WCNC.2007.305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel framework is proposed to introduce the game theory into power control in UWB network. Firstly, the power control problem is modeled as a cooperation potential game. Secondly, a novel utility function and potential function are introduced for UWB network. Finally, the process of power control is expressed as the process of maximum potential function for each active link. For the application of the framework, a new algorithm is also proposed. The algorithm converges to an exact Nash equilibrium by the theoretical proving. Through the simulation which compares the performance of our algorithm and the traditional scheme, the result shows that our algorithm performed better in both convergence and fairness, and also saved power consumed.\",\"PeriodicalId\":292621,\"journal\":{\"name\":\"2007 IEEE Wireless Communications and Networking Conference\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Wireless Communications and Networking Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCNC.2007.305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Wireless Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNC.2007.305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Power Control for Cooperative UWB Network Using Potential Game Theory
A novel framework is proposed to introduce the game theory into power control in UWB network. Firstly, the power control problem is modeled as a cooperation potential game. Secondly, a novel utility function and potential function are introduced for UWB network. Finally, the process of power control is expressed as the process of maximum potential function for each active link. For the application of the framework, a new algorithm is also proposed. The algorithm converges to an exact Nash equilibrium by the theoretical proving. Through the simulation which compares the performance of our algorithm and the traditional scheme, the result shows that our algorithm performed better in both convergence and fairness, and also saved power consumed.