5G/4G网络工参对网络仿真预测结果影响及分级研究

Research on the Influence of 5G/4G Network Parameters on Network Simulation and Prediction Results and Their Classification

对5G/4G网络建模所需核心工参进行分类,基于重点数据分类情况,采用标准量化的方法和点分析趋势法进行误差影响核定,确定不同类别参数对无线网络仿真结果影响程度和级别,为网络规划、优化一线现场人员及后端方案工程师提供量化及感性认识,提升对方案仿真结果的参照与预判,并以此引起国内移动通信运营商对基础工参和数据精确度的重视。

It classifies the core parameters needed for 5 G/4 G network modeling. Based on the classification of key data,the standard quantification method and point analysis trend method are used to verify the error impact and determine the impact degree and level of different types of parameters on wireless network simulation results,which provides quantitative and perceptual knowledge for front-line field personnel of network planning and optimization and back-end program engineers,and improves the understanding of reference and prediction of the simulation results of the scheme,and thus domestic mobile communication operators will pay more attention to the accuracy of basic engineering participation data.