Modeling mobile cellular networks based on social characteristics

Ji Ma*, Wei Ni, Jie Yin, Ren Ping Liu, Yuyu Yuan, Binxing Fang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
5 Downloads (Pure)


Social characteristics have become an important aspect of cellular systems, particularly in next generation networks where cells are miniaturised and social effects can have considerable impacts on network operations. Traffic load demonstrates strong spatial and temporal fluctuations caused by users social activities. In this article, we introduce a new modelling method which integrates the social aspects of individual cells in modelling cellular networks. In the new method, entropy based social characteristics and time sequences of traffic fluctuations are defined as key measures, and jointly evaluated. Spectral clustering techniques can be extended and applied to categorise cells based on these key parameters. Based on the social characteristics respectively, we implement multi-dimensional clustering technologies, and categorize the base stations. Experimental studies are carried out to validate our proposed model, and the effectiveness of the model is confirmed through the consistency between measurements and model. In practice, our modelling method can be used for network planning and parameter dimensioning to facilitate cellular network design, deployments and operations.

Original languageEnglish
Pages (from-to)480-492
Number of pages13
JournalInternational Journal of Computers, Communications and Control
Issue number4
Publication statusPublished - 2016
Externally publishedYes

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • social characteristics
  • mobile networks
  • spectral clustering
  • energy efficiency
  • traffic model


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