电子科技大学学报2017，Vol.46Issue(2)：346-351,6.DOI:10.3969/j.issn.1001-0548.2017.02.005
异构蜂窝网络中一种基于匈牙利算法的用户关联方法
User Association in Heterogeneous Cellular Networks Via the Hungarian Method
摘要
Abstract
In heterogeneous cellular networks, traditional user association schemes based on reference signal power result in load imbalances between macro cell base stations (MBSs) and small cell base stations (SBSs). Meanwhile, offloading users to SBSs face the quality of service (QoS) degradation. In this paper, we propose a utility maximization framework to address the user association problem. In order to strike a tradeoff between load balancing and user QoS experiences, a bi-criterion optimization problem is formulated to solve the user association problem. The bi-criterion optimization problem is then linearized as a utility maximization problem with a tunable parameter. In addition, we show that the utility maximization problem can be reformulated as a maximum bi-partite matching problem and can be solved in polynomial time by using the Hungarian method. Simulation results show that our proposed method achieves load balancing and can strike tradeoffs between load balancing and user QoS by tuning the optimization parameter.关键词
二部图匹配/用户关联/异构网络/匈牙利算法/负载均衡Key words
bipartite matching/cell association/heterogeneous networks/Hungarian method/load balancing分类
信息技术与安全科学引用本文复制引用
苏恭超,陈彬,林晓辉,王晖,李乐民..异构蜂窝网络中一种基于匈牙利算法的用户关联方法[J].电子科技大学学报,2017,46(2):346-351,6.基金项目
国家自然科学基金(61301182, 61372078, 61171071) （61301182, 61372078, 61171071）
国家973项目(2013CB329103) （2013CB329103）
