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 cumt-iot perception mine research center China University of Mining and Technology Xuzhou China School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester Essex 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

A suboptimal joint bandwidth and power allocation for cooperative relay networks:a cooperative game theoretic approach

引用

Science china(Information Sciences) 2013年第7期56卷 64-75页

作者： zhang guopeng ding enjie yang kun liu peng cumt-iot perception mine research center China University of Mining and Technology School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park

In commercial networks, user nodes operating on batteries are assumed to be selfish to consume their resources (i.e., bandwidth and power) solely maximizing their own benefits (e.g., the received signal-to-noise ratios (SNRs) and datarates). In this paper, a cooperative game theoretical framework is proposed to jointly perform the bandwidth and power allocation for selfish cooperative relay networks. To ensure a fair and efficient resource sharing between two selfish user nodes, we assume that either node can act as a source as well as a potential relay for each other and either node is willing to seek cooperative relaying only if the datarate achieved through cooperation is not lower than that achieved through noncooperation (i.e., direct transmission) by consuming the same amount of bandwidth and power resource. Define the cooperative strategy of a node as the number of bandwidth and power that it is willing to contribute for relaying purpose. The two node joint bandwidth and power allocation (JBPA) problem can then be formulated as a cooperative game. Since the Nash bargaining solution (NBS) to the JBPA game (JBPAG) is computationally difficult to obtain, we divide it into two subgames, i.e., the bandwidth allocation game (BAG) and the power allocation game (PAG). We prove that both the subgames have unique NBS. And then the suboptimal NBS to the JBPAG can be achieved by solving the BAG and PAG sequentially. Simulation results show that the proposed cooperative game scheme is efficient in that the performance loss of the NBS result to that of the maximal overall data-rate scheme is small while the maximal-rate scheme is unfair. The 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 relay resource allocation cooperative game theory Nash bargaining solution Pareto optimal

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：