电子、通信与自动控制

基于 Stackelberg 博弈的最优频谱分配与定价策略

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  • 华南理工大学 电子与信息学院,广东 广州 510640
周雄(1988-),男,博士生,主要从事 Femtocell 研究. E-mail: zhouxiongbupt@ gmail. com

收稿日期: 2014-05-19

  修回日期: 2014-11-11

  网络出版日期: 2015-02-10

基金资助

国家自然科学基金资助项目 (61340035);广州市科技计划项目(2014J4100246)

Optimal Allocation and Pricing Strategy for Spectrum Resources on the Basis of Stackelberg Game

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  • School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
周雄(1988-),男,博士生,主要从事 Femtocell 研究. E-mail: zhouxiongbupt@ gmail. com

Received date: 2014-05-19

  Revised date: 2014-11-11

  Online published: 2015-02-10

Supported by

Supported by the National Natural Science Foundation of China(NSFC)(61340035)

摘要

针对家庭基站部署与运营,以及与宏基站共享频谱资源所面临的难题,提出了一种基于 Stackelberg 博弈的最优频谱分配与定价策略. 通过建模基站与用户之间的博弈,分析了资源定价与用户需求的关系;通过建模宏基站与家庭基站之间的博弈,给出了多种场景下双层分级蜂窝网络的最优频谱分配与定价策略. 该策略能按需地为宏基站与家庭基站分配频谱,最大化宏基站与家庭基站的频谱效益,并能有效地激励运营商与用户积极部署家庭基站,加速绿色通信网络的建设进程.

本文引用格式

周雄 冯穗力 . 基于 Stackelberg 博弈的最优频谱分配与定价策略[J]. 华南理工大学学报(自然科学版), 2015 , 43(3) : 90 -97 . DOI: 10.3969/j.issn.1000-565X.2015.03.014

Abstract

In order to solve the problems existing in the deployment and operation of femtocell base stations as well as in the spectrum resource share between femtocells and macrocells,an optimal allocation and pricing strategy for spectrum resources is proposed on the basis of Stackelberg game. By modeling the game between base stations and users,the relationship between spectrum price and user demands is analyzed. Then,by modeling the game between macrocells and femtocells,an optimal strategy of spectrum allocation and pricing in various scenes is proposed for two-tiered hierarchical cellular networks. This strategy allocates spectrum resources between macrocells and femto-cells reasonably,maximizes their utility,effectively inspires operators and owners to deploy femtocell base stations,and promotes the process of green communication.
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