摘要
为避免异构网络下的电力无线网络阻塞,提高电力无线网络传输的可靠性,提出一种异构网络下的电力无线网络自适应选择方法。首先建立以网络负载率、用户密度、平均信息年龄、用户满意度的电力无线网络评分,并构建电力无线网络评分最大化的目标函数;然后采用双深度Q网络(Double Deep Q-Network,DDQN)对目标函数进行求解,并引入双向长短期记忆网络(Bi-directional Long Short-Term Memory,BiLSTM)对电力无线网络历史流量进行学习,并预测未来时刻量,将预测结果反馈到求解的优化策略中进行调整;最后通过仿真实验进行验证。结果表明,本方法不同业务量下,平均信息年龄为85.67 ms,网络切换率为36%,网络可靠性为99.58%,相较于对比方法,可明显减少网络频繁切换和网络拥塞等问题。由此得出,本方法能综合考虑异构网络下的电力无线网络网络负载率、用户密度、平均信息年龄、用户满意度,并及时调整电力无线网络流量,为不同业务分配更合适的接入网络,避免了电力无线网络阻塞和频繁切换,提高了电力无线网络传输的可靠性。
In order to avoid power wireless network congestion in heterogeneous networks and improve the reliability of power wireless network transmission,an adaptive selection method for power wireless networks in heterogeneous networks is proposed.Firstly,establish a power wireless network rating based on network load rate,user density,average information age,and user satisfaction,and construct an objective function to maximize the power wireless network rating;then,a double deep Q-network(DDQN)is used to solve the objective function,and introduce a bidirectional long short term memory(BiLSTM)network to learn the historical traffic of power wireless networks and predict future time quantities.The prediction results are fed back to the optimization strategy for adjustment;finally,verification was conducted through simulation experiments.The results show that under different business volumes,the average information age of this method is 85.67 ms,the network switching rate is 36%,and the network reliability is 99.58%.Compared with the comparative method,it can significantly reduce problems such as frequent network switching and network congestion.From this,it can be concluded that this method can comprehensively consider the load rate,user density,average information age,and user satisfaction of the power wireless network under heterogeneous networks,and adjust the power wireless network traffic in a timely manner to allocate more suitable access networks for different businesses,avoiding power wireless network congestion and frequent switching,and improving the reliability of power wireless network transmission.
作者
李艳飞
樊灵孟
吴新桥
方阳
陈远
冯俊懿
LI Yanfei;FAN Lingmeng;WU Xinqiao;FANG Yang;CHEN Yuan;FENG Junyi(China Southern Power Grid Co.,Ltd.,Guangzhou 510663,China;China Southern Power Grid Digital Power Grid Technology(Guangdong)Co.,Ltd.,Guangzhou 510525,China)
出处
《国外电子测量技术》
2025年第9期100-106,共7页
Foreign Electronic Measurement Technology
基金
中国南方电网有限责任公司科技项目(ZBKJXM20232102)。
