High-efficiency Access network selection algorithms are crucial to ensure Quality of Service (QoS) and Quality of Experience (QoE) in heterogeneous networks environment. Hereby, an intelligent access network selection algorithm based on multiple attribute decision making (MADM) is proposed in this paper. First, considering the special characteristics of cognitive wireless networks, a cross-layer network framework based on cognitive cycle was proposed. Secondly, according to network condition and QoE of users, we used the cross-layer multiple attributes to make decision for network selection. Lastly, simulation experiments were carried out using MATLAB. The simulation results show that the network selection algorithm was effective. The number of handoffs and sorting anomaly ratios were reduced. The quality of network service, user experience and network resource utilization were improved. Mobile users can access the most suitable network according to different traffic type requirements.

高效接入网络选择算法对于确保异构网络环境中的服务质量（QoS）和体验质量（QoE）至关重要。因此，本文提出了一种基于多属性决策的智能接入网选择算法。首先，考虑到认知无线网络的特点，提出了一种基于认知周期的跨层网络框架。其次，根据网络状况和用户的QoE，使用跨层多属性来进行网络选择的决策。最后，利用MATLAB进行了仿真实验。仿真结果表明，该网络选择算法是有效的。越区切换次数和分类异常率降低了。网络服务质量，用户体验和网络资源利用率得到改善。移动用户可以根据不同的流量类型要求访问最合适的网络。