基于信息年龄的变电站业务无线接入选择算法

为更好满足变电站中大规模设备接入和高可靠低时延业务传输需求，提出了一种适用于变电站业务的多频异构无线通信网络接入选择算法。首先构造了一个异构无线网络覆盖下的变电站场景模型，综合考虑变电站业务对于可靠性和有效性的需求。其次为有效提升接收到信息的新鲜程度，以平均信息年龄（Average Age of Information，AAoI）作为无线网络接入选择的优化目标函数，提出了基于信息年龄的变电站业务接入选择优化问题。最后利用深度Q学习（Deep Q-Learning，DQN）方法求解该问题，以获得最佳的接入选择方案。通过对应用实例与试验数据的分析可以看出，所提出的接入选择优化理论和算法，可以降低业务传输时的平均信息年龄，提升数据的新鲜程度。

An Wireless Access Selection Algorithm of Substation Service Based on Age of Information

To meet the need for a ultra-reliable and low-latency service transmission of large-scale equipment access in substations, we propose a multi-frequency heterogeneous wireless communication network access selection algorithm for substation services. Considering the reliability and effectiveness requirements of these services, we firstly construct a substation scenario model under heterogeneous wireless network coverage. Secondly, to effectively improve the freshness of the information received, we utilize the Average Age of Information (AAoI) as the optimization target function of wireless network access selection and propose the optimization problem of substation service access selection based on the age of information. Finally, we implement the Deep Q-Learning (DQN) method to obtain the best access selection scheme. It can be seen from the analysis of the application examples and the test data that the proposed access selection optimization theory and algorithm can reduce the average age of information during service transmission and improve the freshness of data.