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机构地区:[1]三峡大学计算机与信息学院,湖北宜昌443002
出 处:《移动通信》2016年第8期75-79,共5页Mobile Communications
摘 要:提出了双层Femtocell中基于修正Stackelberg博弈的资源分配策略。策略针对双层Femtocell中稀疏场景,以宏蜂窝基站的干扰容限作为微蜂窝用户的均匀定价,构建宏基站与微蜂窝用户之间的Stackelberg博弈模型。通过功率分配,使宏蜂窝用户代价和微蜂窝用户效益联合最优。最后采用基于用户需求的加权法修正由于Stackelberg博弈解的排序性导致的不公平性。仿真结果表明本文策略使网络性能得到了较大提高。A resource allocation scheme based on a modified stackelberg game for two-tier Femtocell networks was proposed in this paper. The scheme, regarding the interference power constraint of macrocell base station as the uniform pricing of Femtocell users, formulated a Stackelberg game model to study the joint utility maximization of the macrocell and Femtocells subject to a maximum tolerable interference power of the MBS on a sparsely deployed scenario for two-tier Femtocell networks. Finally, the weighting method by users' request was adopted to correct the unfairness caused by the order of the solution of the Stackelberg game. It was shown by simulation that the proposed scheme improved the network performance significantly.
关 键 词:双层Femtocell STACKELBERG博弈 均匀定价 公平性
分 类 号:TN914[电子电信—通信与信息系统]
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