异构无线网络选择算法的仿真研究

Simulation Research on Network Selection Algorithm of Heterogeneous Wireless Network

研究异构无线网络选择问题。异构无线网络选择是下一代无线网络的关键技术及多网融合的基础,决策指标相当多,传统判决指标权重方法具有片面性,无法为用户提供最佳网络选择服务。为了提高异构无线网络选择的准确性,把层次分析和灰色关联评价法结合起来,提出一种组合的异构无线网络选择算法。通过对影响网络选择的指标进行分析,用层次分析法和方根法确定网络决策指示的权重,最后对备选网络进行灰色关联选择,选择最优接入网络。仿真结果证明,相对于传统网络选择算法,更加客观准确地选择与用户需求最佳匹配网络,并降低用户的接入成本,从而可以满足用户的业务需求,为异构无线网络设计提供了参考。

Heterogeneous wireless ac network selection is one of the key technologies for next-generation wireless networks.Because the heterogeneous networks have many indexes,traditional method has lots of shortages and can not provide the best service for users.In order to improve the accuracy of choice for the network selection,a hierarchical analysis algorithm combined with grey evaluation method and analytic hierarchy process for network selection is proposed in this paper.Firstly,he influence factors of network selection are analyzed;secondly,analytic hierarchy process computes the network weights of attributes;lastly,the optimal network selection is achieved based on grey relational analysis.Simulation results show that the proposed algorithm can be more accurate selection,meet the user demand of the network,and reduce the users＇ cost,compared with the traditional network selection algorithm.And thus it can meet the user＇s demands of diversity and personality.