通用多接入网络选择问题的建模和分析

提出了一种基于通用多目标优化模型的多接入网络选择判决方法. 对接入选择相关的参数进行了系统的分析归类，通过建模将网络选择问题转化为典型的多目标优化问题. 借鉴遗传算法的群体排序思想，结合Hooke Jeeves直接搜索方法设计了优化的多目标决策算法. 仿真结果表明，参数的设置合理有效，在多目标优化问题建模基础上的网络接入选择方案可以在异构网络环境中得出准确合理的判决结果.

Modeling and Analysis for Universal Multiple Access Network Selection

A multiple access network selection method based on the universal model for multi objective optimization is presented. Parameters from upper layer and lower layer related with network selection are classified systematically. A new multi attributes decision making algorithm combined sorting in genetic algorithm and Hooke Jeeves method is also proposed. Simulation shows that the parameters are identified effectively, and the network selection mechanism we proposed based on the multi objective optimization modeling can select the appropriate network for users.