Proactive call drop avoidance in UMTS networks

Shan Zhou, Jie Yang, Dahai Xu, Guangzhi Li, Yu Jin, Zihui Ge, Mario B. Kosseifi, Robert Doverspike, Yingying Chen, Lei Ying

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


The rapid advancement of smartphones has instigated tremendous data applications for cell phones. Supporting simultaneous voice and data services in a cellular network is not only desirable but also becoming indispensable. However, if the voice and data are serviced through the same antenna (like the 3G UMTS network), a voice call with data sessions requires better radio connection than a voice-only call. In this paper, we systematically study the coordination between the voice and data transmissions in UMTS networks. From analyzing a large carrier's UMTS network recording data, we first identify the most relevant network measurements/features indicating a potential call drop, then propose a drop-call predictor based on AdaBoost. Moreover, we develop an intelligent call management strategy to voluntarily block data sessions when the voice is predicted to be dropped. Our analysis utilizing real service provider's data sets shows that our proposed scheme can not only predict drop calls with a very high accuracy but also achieve the highest user satisfaction compared to the other existing call management strategies.

Original languageEnglish (US)
Title of host publication2013 Proceedings IEEE INFOCOM 2013
Number of pages5
StatePublished - 2013
Event32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013 - Turin, Italy
Duration: Apr 14 2013Apr 19 2013

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Other32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering


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