High-Speed Railway Mobile Communication Network Optimization Based on Big Data Analysis

As we know, the mobile network cells along the high-speed railways serves both the subscribers on the train and the subscribers on the ground, but the two kind of subscribers move differently, therefore the traditional KPI-based analysis method cannot truly reflect the perception of high-speed railway subscribers; However, the on-board DT testing has poor timeliness and limited types of terminals. It is necessary to find a way which is suitable for reflecting the true perception of subscribers on the high-speed rail in real time. Based on the analysis of big data, this paper first proposes a way to evaluate the true perception of subscribers on the high-speed rail. First of all, we distinguish the subscribers on the train from the subscribers on the ground, then evaluate the true perception of subscribers on the high-speed rail by their Signaling plane and user plane data.