基于数字孪生的无线网络优化方法的研究

Research on wireless network optimization method based on digital twin

文章提出了一种基于数字孪生的无线网络优化系统设计方案。该系统由数据层、应用层和交互层3层架构组成,包含数据采集、数据处理等4个主要模块。其利用数字孪生技术构建无线网络数字孪生模型,实现对无线网络的实时监控和分析,从而找出网络中潜在的问题和瓶颈,并通过对数字孪生模型进行优化,得到优化的无线网络配置参数,以提高无线网络的性能和稳定性。实验结果表明,该优化方案能有效提升无线网络的性能、提高网络资源的利用率。

This paper proposes a wireless network optimization system design scheme based on digital twin,which consists of three layers of architecture,data layer,application layer and interaction layer,including four main modules,such as data acquisition,data processing and etc.It uses digital twin technology to build a wireless network digital twin model to realize real-time monitoring and analysis of wireless network.The potential problems and bottlenecks in the network are found out,and the optimized wireless network configuration parameters are obtained by optimizing the digital twin model to improve the performance and stability of the wireless network.The experimental results show that this optimization scheme can effectively improve the performance of wireless network and improve the utilization rate of network resources.