基于二分图的两级动态异构网络选择方案

通信技术的发展，使多种接入技术并存的异构网络成为未来通信网络的发展趋势，随着用户业务QoS需求的提高和传输带宽的增加，现有的网络选择算法已经不能满足用户高质量的通信需求。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，算法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。

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

With the development of communication technologies, heterogeneous networks with multiple access technologies have become the trend of future communication networks. With the increase of QoS requirements for user services and the increase of transmission bandwidth, existing network selection algorithms can no longer satisfy users'' high quality communication needs. In view of the increasing shortage of spectrum resources in heterogeneous wireless networks, this paper proposed a two-level dynamic network selection scheme that involves both the user and the network. The scheme includes gray correlation analysis method and bipartite graph joint optimization matching algorithm. Through the joint decision of the user and the network, the algorithm optimizes the system throughput and equalizes 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.