Cited by 54Image and Video Quality AssessmentNetwork Traffic and Congestion ControlMultimedia Communication and Technology

Survey on QoE Assessment Approach for Network Service

Open access
Yang, Mingzhe, Wang, Shangguang, Calheiros, Rodrigo N., Yang, Fangchun·2018·IEEE Access

Abstract

With the development of converged all-IP networks, new network services-supporting, among others, image, audio, and video-with high diversity emerge, which brings huge pressure and fierce competition to service providers because of increasing choices for users. Assessing end user's quality of experience (QoE) has become one of the main issues to meet high user requirements and satisfaction under any circumstances, which means receiving any service, anytime, anywhere, on any device, by any media and networking technology, across any operator domain. In this paper, we provide an overview of the field of QoE assessment approaches including three aspects: subjective assessment, objective assessment, and hybrid assessment. The discussion includes the definition, influence factors, and quantification approaches for QoE. Then, these three assessment methodologies are surveyed and compared across a number of factors. This paper also introduces challenges and opportunities in the area of QoE assessment.

Integrity signals

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Crossref · 10.1109/access.2018.2867253

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  • Existing surveys on QoE in IoT focus on network metrics to assess QoE.

    “Existing surveys on QoE in IoT such as [16][17][18] focus on network metrics to assess QoE.”

    From QoE in IoT: a vision, survey and future directions (2021) · cites this paper as [16]

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Authors
Yang, M., Wang, S., Calheiros, R. N., & Yang, F.
Affiliations
  • Beijing University of Posts and Telecommunications (CN)
  • Western Sydney University (AU)
Venue
IEEE Access
Published
2018
Volume
6
Pages
48374-48390
ISSN
2169-3536 (ISSN-L)
OpenAlex
W2889485247
Cited by
54
References
82
Citations by year
2026: 3 · 2025: 7 · 2024: 4 · 2023: 8 · 2022: 13 · 2021: 7 · 2020: 8 · 2019: 2 · 2018: 2
FWCI
2.38
Type
journal article
Language
en
Open access
Locations
  • IEEE Access (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (61472047)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
  • Social Sciences › Sociology and Political Science › Multimedia Communication and Technology
Keywords
quality of experience, network services, subjective evaluation, objective assessment, hybrid evaluation, all-IP networks, multimedia services, user satisfaction

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