基于二分图的两级动态异构网络选择方案

Two-level dynamic heterogeneous network selection scheme based on bipartite graph

针对异构无线网络频谱资源日益紧缺的问题,提出了由用户端和网络端共同参与的两级动态网络选择方案。该方案包括灰度关联分析法和二分图联合优化匹配算法,通过用户端和网络端的共同决策,在有效满足移动用户业务服务质量需求的前提下优化了系统吞吐量、均衡了网络负载。仿真实验表明,相对于传统算法,该方案极大地提高了异构网络频谱资源利用率,并降低了用户在无线网络间的切换概率,实现了用户需求和网络资源的合理配置。

In view of the increasing shortage of spectrum resources in heterogeneous wireless networks,this paper proposed a two-level dynamic network selection scheme that involved the user and the network.The scheme included gray correlation analysis method and bipartite graph joint optimization matching algorithm.Through the joint decision of the user and the network,the algorithm optimized the system throughput and equalized the network load on the premise of effectively satisfying the quality of service requirements of mobile users.Simulation results show that compared with the traditional algorithm,the scheme greatly improves the utilization ratio of spectrum resources in heterogeneous network,reduces the handover probability of users switching between wireless networks,and realizes the rational allocation of users’ needs and network resources.