Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings

Research Article

Analysis of Signaling Overhead and Performance Evaluation in Cellular Networks of WeChat Software

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  • @INPROCEEDINGS{10.1007/978-3-319-28910-6_31,
        author={Yuan Gao and Hong Ao and Jian Chu and Zhou Bo and Weigui Zhou and Yi Li},
        title={Analysis of Signaling Overhead and Performance Evaluation in Cellular Networks of WeChat Software},
        proceedings={Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2016},
        month={2},
        keywords={WeChat Signaling Overhead Heartbeat Wireless network},
        doi={10.1007/978-3-319-28910-6_31}
    }
    
  • Yuan Gao
    Hong Ao
    Jian Chu
    Zhou Bo
    Weigui Zhou
    Yi Li
    Year: 2016
    Analysis of Signaling Overhead and Performance Evaluation in Cellular Networks of WeChat Software
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-319-28910-6_31
Yuan Gao,*, Hong Ao1, Jian Chu1, Zhou Bo1, Weigui Zhou1, Yi Li,*
  • 1: Xi Chang Satellite Launch Center
*Contact email: yuangao08@tsinghua.edu.cn, liyi@rdfz.cn

Abstract

The instant communication software such as WeChat, QQ and Fetion becomes popular with the rapid development of mobile terminals and wireless personal communication technology. To refresh the online or offline status of such software, signaling message must be sent every given intervals. However, the signaling message raised by huge number of users will cause severe overhead of mobile networks, which will affect the outage performance of network. In this work, we analyze the signaling overhead caused by such software and evaluate the influence using the system level simulation platform. Results indicate that, the signaling overhead will affect the outage performance when the density of users is great. Practical solution is also raised at the end of our paper.