International Conference on Collaborative Computing: Networking, Applications and Worksharing

Collaborative Computing: Networking, Applications, and Worksharing pp 323-328 | Cite as

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

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 163)

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.

Keywords

WeChat Signaling Overhead Heartbeat Wireless network 

References

  1. 1.
    Taniguchi, Y.: De synchronization-based weighted scheduling adaptive to traffic load for wireless networks. In: 2014 International Conference on Computer, Communications, and Control Technology (I4CT), pp. 130–134, 2-4 September 2014 (2014)Google Scholar
  2. 2.
    Radio, N., Zhang, Y., Tatipamula, M., Madisetti, V.K.: Next-generation applications on cellular networks: trends, challenges, and solutions. Proc. IEEE 100(4), 841–854 (2012)CrossRefGoogle Scholar
  3. 3.
    Dini, P., Miozzo, M., Bui, N., Baldo, N.: A model to analyze the energy savings of base station sleep mode in LTE HetNets. In: IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing, 2013 IEEE and Internet of Things (iThings/CPSCom), pp. 1375–1380, 20-23 August 2013 (2013)Google Scholar
  4. 4.
    Zhang, S., Wu, Y., Cai, X.: WeChat traffic profile and impact on mobile networks. In: 2014 IEEE/CIC International Conference on Communications in China (ICCC), pp. 334 − 338, 13-15 October 2014 (2014)Google Scholar
  5. 5.
    Han, B., Liu, X., Wang, J., Liu, C., Wagner, R.M.: Extending an instant messaging system with data services and mashups thereof. In: 2014 IEEE International Conference on Services Computing (SCC), pp. 848–849, 27 June 2014-2 July 2014 (2014)Google Scholar
  6. 6.
    Han, Y., Zhao, M., Zhou, W.: Optimization of OTT small data services: network capacity and cost analysis. In: 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1–6, 23-25 October 2014 (2014)Google Scholar
  7. 7.
    Gao, Y., Li, Y., Yu, H., Wang, X., Gao, S., Xue, P.: Energy efficient cooperative sleep control using small cell for wireless networks. Int. J. Distrib. Sensor Netw. 2015, 10 (2015). doi:10.1155/2015/903853 Google Scholar
  8. 8.
    Bajaj, H., Jindal, R.: Thinking beyond WhatsApp. In: 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1443–1447, 11-13 March 2015 (2015)Google Scholar
  9. 9.
    Wei, W., Yong, Q.: Information potential fields navigation in wireless Ad-Hoc sensor networks. Sensors 11(5), 4794–4807 (2011)CrossRefGoogle Scholar

Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  1. 1.Xi Chang Satellite Launch CenterXichangChina
  2. 2.State Key Laboratory on Microwave and Digital Communications, National Laboratory for Information Science and TechnologyTsinghua UniversityBeijingChina
  3. 3.China Defense Science and Technology Information CenterBeijingChina
  4. 4.The High School Affiliated to Renmin University of ChinaBeijingChina

Personalised recommendations