摘要
下行速率是衡量TD-LTE网络性能的一个重要指标.在对其影响因素进行分析的基础上,结合TD-LTE下行速率的业务特性,提出了一种基于数据挖掘的多元线性回归方程的评估方法,以实际的网格测试log为数据源,通过SPSS数据分析软件,拟合表征了各影响因素对下载速率的影响比重.结果证明,在根据正向影响因素优先级进行优化的同时,考虑负向影响因素,有利于更快提升LTE下行速率.该方法亦适用于4G/5G其他网络问题的分析.
The downlink rate is an important indicator to measure the performance of the TD-LTE(time division-long term evolution) network. Based on the analysis of its influencing factors, a data mining-based multiple linear regression equation evaluation method is proposed. The actual grid test log is the data source, and the SPSS data analysis software is used to fit and characterize the proportion of each influencing factor on the download rate. The result proves that while optimizing according to the priority of positive influencing factors, considering the negative influencing factors is conducive to faster increase of LTE downlink rate.
作者
孙学耕
郑新旺
沈爱国
SUN Xuegeng;ZHENG Xinwang;SHEN Aiguo(Fujian College of Water Conservancy and Electric Power,Yong'an Fujian 366000,China;Chengyi University College,Jimei University,Xiamen Fujian 361021,China)
出处
《泉州师范学院学报》
2022年第2期70-75,90,共7页
Journal of Quanzhou Normal University
