检索结果-南通市图书馆

Energy-efficient power allocation for selfish cooperative communication networks using bargaining game

science China(Information sciences) 2012年第4期55卷 795-804页

作者： DING EnJie 1,ZHANG GuoPeng 1,LIU Peng 1 & YANG Kun 2 1 CUMT-IoT Perception Mine Research Center,China university of Mining and Technology,Xuzhou 221116,China 2 School of computer science and electronic engineering,university of essex wivenhoe park,colchester essex,co4 3sq,uk 1. CUMT-IoT Perception Mine Research Center China University of Mining and Technology Xuzhou 221116 China2. School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester Essex CO4 3SQ UK

In commercial networks,user nodes operating on batteries are assumed to be selfish to consume their energy solely to maximize their own benefits,e.g.,data *** this paper,we propose a bargaining game to perform the power allocation for the selfish cooperative communication *** our system,two partner nodes can act as a source as well as a relay for each other,and each node is with an energy constraint to transmit one *** a selfish node is willing to seek cooperative transmission only if the data rate achieved through cooperation will not lower than that achieved through noncooperation by using the same amount of *** energy-efficient power allocation problem can be modeled as a cooperative *** proved that there exists a unique Nash bargaining solution (NBS) for the game by verifying that the game is indeed a bargaining ***,the two objectives,i.e.,system efficiency and user fairness specified in the selfish networks can be *** results show that the NBS scheme is efficient in that the performance loss of the NBS scheme to that of the maximal overall rate scheme is small while the maximal-rate scheme is *** simulation results also show that the NBS result is fair in that both nodes could experience better performance than they work independently and the degree of cooperation of a node only depends on how much contribution its partner can make to improve its own performance.

关键词： cooperative communication energy efficiency resource allocation cooperative game theory Nash bargaining solution

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Power allocation scheme for selfish cooperative communications based on game theory and particle swarm optimizer

引用

science China(Information sciences) 2010年第9期53卷 1908-1912页

作者： ZHANG GuoPeng1*,YANG Kun2 & DING EnJie3 1School of computer science and Technology,China university of Mining and Technology,Xuzhou 221116,China 2.chool of computer science and electronic engineering,university of essex wivenhoe park,colchester co_4 3sq,uk 3School of Information and Electrical engineering,China university of Mining and Technology,Xuzhou 221116,China 1. School of computer science and Technology China University of Mining and Technology Xuzhou 221116 China2. School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester CO4 3SQ UK3. School of Information and Electrical Engineering China University of Mining and Technology Xuzhou 221116 China

In commercial networks,autonomous user nodes operating on batteries are assumed to be selfish to consume their energy solely to maximize their own benefits,e.g.,data *** this letter a two-user cooperative game is proposed to perform the power allocation for selfish cooperative communication *** the game,one selfish user node could trade its transmission power for the other ones cooperative relaying directly,and both user nodes are willing to achieve an optimal data-rate increase through cooperative *** find the Nash bargaining solution(NBS) of the game,a low-complexity numerical particle swarm optimizer(PSO) algorithm is also *** results indicate that the NBS of the game is efficient,in that both users could experience better performance than they work independently,and fair,in that the degree of cooperation of a user node only depends on how much contribution its partner can make to improve its own performance.

关键词： cooperative communication power allocation game theory Nash bargaining solution particle swarm optimizer

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：