基于采样点聚类和切换象限划分核查小区方位角

Verification of the cell azimuth based on clustering of sampling point and division of switching quadrant

工参数据主要依赖于人工维护,其低准确性制约了网络规划优化工作的开展。针对工参数据中的小区方位角,通过采集网管系统的测量报告数据和切换统计数据,综合运用采样点聚类算法和切换象限划分算法,计算对应小区的模拟方位角。进一步对比模拟方位角和实际方位角,发现存在的问题,从而指导工参数据更新以及工程整改。通过现网的实际验证,该研究方法取得了良好的应用效果。同样,该研究可以推广应用到工参数据的经纬度方面的核查工作中,具有较强的借鉴价值。

Engineering data mainly depends on manual maintenance, and the poor accuracy restricts the development of network planning optimization. Aiming at the cell azimuth in engineering data, the simulated azimuth of the cor- responding cell was calculated by using the sampling point clustering algorithm and the switching quadrant partition- ing algorithm by collecting the measurement report data and the switching statistical data of the network management system. By comparing the simulated azimuth angle and the actual azimuth angle, the existing problems were found, which could be used to guide the data updating and engineering rectification. Through the actual verification of the current network, the research method has achieved good application effect. Similarly, the study can be applied to the latitude and longitude of engineering data, which has a strong reference value.