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›› 2015, Vol. 32 ›› Issue (1): 136-139.DOI: 10.7523/j.issn.2095-6134.2015.01.022

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Mobile network access time statistical analysis and its application based on kernel method and Gaussian mixture model

CHANG Nan, ZHANG Sanguo   

  1. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2014-03-03 Revised:2014-03-28 Online:2015-01-15

Abstract:

Based on kernel method and Gaussian mixture model, we analyze the distribution of the mobile network access time from a new view, the mobile model view. The analysis of real data suggests that the distribution of the mobile network has two peaks. We give some reasonable interpretations for such a phenomenon.

Key words: celluar device, mobile phone, access time, kernel density estimator, Gaussian mixture model

CLC Number: