Cited by 24Image and Video Quality AssessmentAdvanced Wireless Network OptimizationNetwork Traffic and Congestion Control

QoE Model Based Optimization for Streaming Media Service Considering Equipment and Environment Factors

Han, Bingjun, Zhang, Xin, Qi, Yifei, Gao, Yuehong, Yang, Dacheng·2012·Wireless Personal Communications

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Crossref · 10.1007/s11277-012-0739-7

Cites

26 of 26 references verified0 citation errors · 0 not checkable

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  • In an IoT ecosystem, there is a need to consider device-to-device interactions that can impact the quality of the application and hence the need for more objective measures to assess QoE.

    “However, as mentioned above, in an IoT ecosystem, there is a need to consider device to device interactions that can impact the quality of the application and hence the need for more objective measures to assess QoE [19,22].”

    From QoE in IoT: a vision, survey and future directions (2021) · cites this paper as [22]

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Authors
Han, B., Zhang, X., Qi, Y., Gao, Y., & Yang, D.
Affiliations
Beijing University of Posts and Telecommunications (CN)
Corresponding author
Han, Bingjun
Venue
Wireless Personal Communications
Published
2012-07-15
Volume
66
Issue
3
Pages
595-612
ISSN
  • 0929-6212 (ISSN-L)
  • 1572-834X
OpenAlex
W2024605734
Cited by
24
References
26
Citations by year
2025: 2 · 2024: 2 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 2 · 2017: 1 · 2016: 5 · 2015: 1 · 2014: 1 · 2013: 3
FWCI
1.65
Type
journal article
Language
en
Open access
closed
Locations
Wireless Personal Communications (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
Keywords
quality of experience, streaming media, wireless resource allocation, QoE model, online video, online music, user satisfaction, network resource utilization

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