QoE Evaluation of Adaptive Video Streaming Algorithms in Multi-user Networks

Bo Wei, Koji Kawakami, Hang Song, Bo Gu

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

Abstract

Adaptive bitrate control (ABR) is an important technique for video streaming. This technique selects the video quality adaptively according to various network conditions, to ensure the quality of experience (QoE) for users. In the previous works, the ABR methods are mainly tested in single user environment. In this paper, an emulation testbed is constructed for QoE performance evaluation in multi-user networks. The state-of-the-art ABR methods are incorporated into the proposed environment. Emulation experiments are carried out to evaluate the performance of the methods. Preliminary results show that in FESTIVE, which has the least QoE variation in the six-user experiments, the user QoE of the worst case is only 27.5% of that of best case, demonstrating that the state-of-the-art ABR methods are not effective enough to optimize the QoE for all users under multi-user condition. Future design of the ABR method should take factors such as the fairness and resource allocation into consideration.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Symposium on Multimedia, ISM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages235-236
Number of pages2
ISBN (Electronic)9781728156064
DOIs
Publication statusPublished - 2019 Dec
Event21st IEEE International Symposium on Multimedia, ISM 2019 - San Diego, United States
Duration: 2019 Dec 92019 Dec 11

Publication series

NameProceedings - 2019 IEEE International Symposium on Multimedia, ISM 2019

Conference

Conference21st IEEE International Symposium on Multimedia, ISM 2019
CountryUnited States
CitySan Diego
Period19/12/919/12/11

Keywords

  • QoE
  • adaptive bitrate control
  • multi user networks
  • video streaming

ASJC Scopus subject areas

  • Media Technology
  • Artificial Intelligence
  • Signal Processing

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