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作 者:钟其柱[1] 吴修权[1] 罗耀满 ZHONG Qizhu;WU Xiuquan;LUO Yaoman(Zhongshan Branch of China Mobile Group Guangdong Co.,Ltd.,Zhongshan 528400,China)
出 处:《电信科学》2019年第10期130-136,共7页Telecommunications Science
摘 要:针对传统的LTE(长期演进)无线干扰判断分析方法存在的用户维度数据不足、质差原因关联不足、过于依赖人工分析的问题,提出基于MDT(最小化路测)技术智能分析LTE无线干扰的新方法。首先利用MDT与MR(测量报告)采集用户无线质量数据及经纬度信息,然后创新使用DBSCAN(具有噪声的基于密度的聚类方法)和自适应聚类算法,对采集的无线覆盖指标和经纬度等数据进行聚类分析,最后将聚类后的数据导入自建的无线干扰判断模型,分析得出干扰类型,从而实现LTE无线干扰的智能分析。与传统干扰分析方法相比,所提方法可以避免复杂的路测过程,提高分析的准确度。数据采集聚类和模型分析实验表明,新方法提高了数据采集的效率和位置精确度,在有效减少人工投入时间的同时结果更加准确。Aiming at the traditional LTE(long term evolution)wireless interference judgment analysis method has insufficient user dimension data,insufficient correlation of quality reasons,and too much dependence on manual analysis.A new method based on MDT(minimized drive test)technology for intelligent analysis of LTE radio interference was proposed.Firstly,the user’s wireless quality data and latitude and longitude information were collected by using MDT and MR(measurement report),and then DBSCAN(density-based spatial clustering of applications with noise)and adaptive clustering algorithm were used to collect the wireless coverage indicators and the latitude and longitude and other data were used for cluster analysis.Finally,the clustered data was imported into the self-built wireless interference judgment model,and the interference type was analyzed to realize the intelligent analysis of LTE wireless interference.Compared with the traditional interference analysis method,the proposed method can avoid the complicated road test process and improve the accuracy of the analysis.Data acquisition clustering and model analysis experiments show that the new method improves the efficiency and location accuracy of data collection,and effectively reduces the time of manual investment while the results are more accurate.
分 类 号:TN929[电子电信—通信与信息系统]
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