For different network traffic and network state’s time-varying characteristics, this paper studies the highly energy-efficient network selection algorithm under dynamic change. Network selection algorithm has an important impact on network performance and users’ experience, while current network selection schemes depend on a prior. They cannot effectively select the appropriate network. Targeting users’ quality of experience (QoE) and networks’ energy consumption, this paper uses online dynamic learning property of Q-learning method, consider users’ QoE, networks’ energy consumption, and switch times together, and proposes a QoE based dynamic network selection algorithm. This algorithm can dynamically select the network, obtain the maximum users’ QoE and optimize networks’ energy consumption and switch times. Simulation results show that the proposed algorithm exhibits better performance.

中文翻译：

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基于QoE的动态节能网络选择算法

针对不同的网络流量和网络状态的时变特性，研究了动态变化下的高能效网络选择算法。网络选择算法对网络性能和用户体验具有重要影响，而当前的网络选择方案取决于先验。他们无法有效地选择适当的网络。针对用户的体验质量（QoE）和网络能耗，本文利用Q学习方法的在线动态学习特性，综合考虑用户的QoE，网络能耗和切换时间，提出了一种基于QoE的动态网络。选择算法。该算法可以动态选择网络，获得最大的用户QoE，并优化网络的能耗和切换时间。