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Journal of University of Chinese Academy of Sciences ›› 2013, Vol. 30 ›› Issue (6): 839-844.DOI: 10.7523/j.issn.2095-6134.2013.06.019

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An optimization model and its algorithm of traffic distribution prediction in mobile communication networks based on NCS data

ZHANG Dong-Yan1, ZHAO Tong2, JIANG Zhi-Peng2, WU Ge-Peng2   

  1. 1 School of Computer and Control, University of Chinese Academy of Sciences, Beijing 100049, China;
    2 School of mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2013-01-14 Revised:2013-04-15 Online:2013-11-15

Abstract:

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.

Key words: traffic distribution prediction, NCS data, mobile communication networks, optimization model

CLC Number: