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4G Video Service Stalling Perception Evaluation and Optimization Based on Big Data

  • Jinsong YinEmail author
  • Heng Wei
  • Hui Zhu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 550)

Abstract

This paper proposes a 4G mobile video service perception evaluation model based on the network operation and user service big data analysis. The key quality indicators (KQIs) are selected and comprehensively analyzed by correlation coefficient method, interval score method, and interval increment method. Focus on the application of video service stalling rate optimization in 4G mobile networks to quickly identify video service poor-quality cells and service content servers on mobile networks. This greatly improves user experience and improves optimization efficiency.

Keywords

Big data Video service stalling rate Video download rate/Video bitrate 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Chong Qing Branch of China UnicomChongqingChina

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