一种Macro-Pico异构网络基于博弈的小区选择算法  

New scheme of game-theoretic based cell selection in Macro-Pico heterogeneous networks

作　　者：李锋[1] 耿莉娜[1] 朱世华[1] 

机构地区：[1]西安交通大学电子与信息工程学院信息与通信工程系,西安710049

出　　处：《计算机应用研究》2015年第11期3364-3367,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(11301413);中国博士后科学基金资助项目(2012M521774);国家科技重大专项项目(2011ZX03003-002-03);国际科技合作项目(S2010GR0902)

摘　　要：异构网络中的小区选择是影响系统性能的关键因素,其与资源分配的相互耦合又极大地增加了复杂度。针对采用正交频分多址(orthogonal frequency-division multiple access,OFDMA)技术的宏蜂窝—微蜂窝(macro-pico)异构网场景,提出了一种基于博弈的下行链路小区选择算法。首先建立了资源分配与小区选择联合优化模型,进而将其转换为用户预接入与小区重选两个子问题;基于网络层级和用户服务质量需求(quality of service,Qo S)设计了效用函数和罚函数,能有效折中用户Qo S和网络负载均衡性能。理论分析和仿真结果表明,当网络负载较重时,基于博弈的小区选择算法能有效提高系统吞吐量,改善用户公平性并使负载在不同层网络间分布得更加均匀。The scheme of cell selection in heterogeneous networks is one of the key factors that affected the system capacity. This paper proposed a game theoretic based downlink cell selection scheme, for OFDMA （orthogonal frequency-division multiple access） based Macro-Pieo heterogeneous networks. It constructed the joint optimization model of resource allocation and cell selection, and transformed to two sub-optimization problems of user pre-access and cell selection. The scheme could make a tradeoff between the QoS （ quality of service） of users and load balancing, based on the utility and penalty function. Both theoretical and simulation results demonstrate that, when the network load is heavy, the proposed game theoretic based cell selection algorithm can increase the system throughput and the user fairness. Also, it can make the load distribution between the two tiers of network more evenly.

关 键 词：异构网 小区选择 博弈论 负载均衡 效用函数 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]