移动通信2016，Vol.40Issue(12)：29-32,4.DOI:10.3969/j.issn.1006-1010.2016.12.006
基于基站流量数据的用户上网时间分析研究
Users On-line Time Analysis and Research Based on Base Station Trafifc Data
黄星辉1
作者信息
- 1. 广州杰赛科技股份有限公司，广东广州510310
- 折叠
摘要
Abstract
In order to effectively solve the problem of mobile user’s personalized demand in different time and location, this paper analyzed the characteristics of each base station traffic data of each hour, using k-means clustering algorithm to identify how busy each base station is, and analyzing mobile users time and location demand of data business to guide operators network planning scheme was proposed. Experiments verified the effectiveness of the method, and found that identifying how busy a base station is using K-means clustering analysis algorithm is of high scalability.关键词
K-means/聚类/用户行为/流量数据Key words
K-means/cluster/user behavio/r traffic data分类
计算机与自动化引用本文复制引用
黄星辉..基于基站流量数据的用户上网时间分析研究[J].移动通信,2016,40(12):29-32,4.
