基于XDR大数据分析的高架用户识别技术

城市高架路场景下，用户行驶速度相对较快、人流密集，客户对通信体验要求更高。首先，介绍了网络质量管控大数据平台体系架构；其次，设计了基于XDR大数据分析的高架用户识别的算法；最后，通过XDR大数据分析处理，与高架路段指纹库匹配，输出高架用户运动轨迹，提升了高架用户识别准确性，为高架路无线网络质量监控提供辅助支撑。

Identification technology for city freeway users based on XDR big data analysis

In the scene of city freeway, the driving speed is relatively faster, the flow of people is denser, and the customers have higher requirements for communication experience.Firstly, the architecture of big data platform for mobile network quality control was introduced.Then, the identification algorithm for city freeway users based on XDR big data analysis was proposed.Finally, through XDR big data analyzing and processing, the user track on freeway was output, which followed by matching with the fingerprints database of freeways.The identification accuracy for city freeway users was improved, and wireless network quality monitoring of city freeways was supported.