5G商用初期高校场景4G流量预测及建设方案研究

Research of 4G traffic prediction and construction plan based on college scenarios in the early 5G commercial deployment

由于5G部署初期的套餐资费降低,大量的数据回落将对4G网络的流量带来冲击。目前常用的网络流量预测模型很少关注套餐资费因素,更没有考虑网络制式升级带来的数据回落影响。提出基于套餐及制式驱动型的流量预测模型,并根据流量预测,选择相应的优化和扩容建设方案。基于高校场景的4G流量预测及建设方案分析对确保运营商网络优势十分重要。

As the package price of 5G deployment is reduced in the early stage,a large number of data drops will impact the 4G network traffic.At present,the commonly used network traffic forecasting model pays little attention to the package price factor,let alone the data fallback effect brought by network standard upgrade.In this paper,a traffic prediction model based on package and standard driving model is proposed,and corresponding optimization and capacity expansion schemes are selected according to the traffic prediction.4G traffic prediction and construction scheme analysis based on college scenes are very important to ensure the network advantages of operators.