收稿日期: 2013-01-14
修回日期: 2013-04-15
网络出版日期: 2013-11-15
基金资助
Supported by National Natural Science Foundation of China(71271204,11101420)
An optimization model and its algorithm of traffic distribution prediction in mobile communication networks based on NCS data
Received date: 2013-01-14
Revised date: 2013-04-15
Online published: 2013-11-15
张冬岩 , 赵彤 , 姜志鹏 , 吴鸽鹏 . 一种基于NCS数据的移动通信网络话务分布预测的模型及算法[J]. 中国科学院大学学报, 2013 , 30(6) : 839 -844 . DOI: 10.7523/j.issn.2095-6134.2013.06.019
Though some algorithms were proposed to predict the traffic distribution in mobile communication networks automatically, they are not suitable for large-scale calculation and application in current mobile communication networks. Considering the characters of mobile communication networks, we present an optimization model for precise traffic distribution prediction based on the optimization theory. Moreover, a practical algorithm is derived in order to realize the optimization model by computer. It aims to identify the most possible position of the traffic by matching the NCS data with the field strength prediction results. The experimental results show that the algorithm is practical and efficient.
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