Cited by 837Image and Video Quality AssessmentNetwork Traffic and Congestion ControlSoftware-Defined Networks and 5G

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A generic quantitative relationship between quality of experience and quality of service

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Fiedler, Markus, Hossfeld, Tobias, Tran-Gia, Phuoc·2010·IEEE Network

DOI 10.1109/mnet.2010.5430142

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Abstract

Quality of experience ties together user perception, experience, and expectations to application and network performance, typically expressed by quality of service parameters. Quantitative relationships between QoE and QoS are required in order to be able to build effective QoE control mechanisms onto measurable QoS parameters. Against this background, this article proposes a generic formula in which QoE and QoS parameters are connected through an exponential relationship, called IQX hypothesis. The formula relates changes of QoE with respect to QoS to the current level of QoE, is simple to match, and its limit behaviors are straightforward to interpret. It validates the IQX hypothesis for streaming services, where QoE in terms of Mean Opinion Scores is expressed as functions of loss and reordering ratio, the latter of which is caused by jitter. For web surfing as the second application area, matchings provided by the IQX hypothesis are shown to outperform previously published logarithmic functions. We conclude that the IQX hypothesis is a strong candidate to be taken into account when deriving relationships between QoE and QoS parameters.

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Internet Low Bit Rate Codec (iLBC)
Andersen, S. V., Duric, A., Astrom, H., Hagen, R., Kleijn, W. B., & Linden, J. (2004) · doi:10.17487/rfc3951 · Cited by 102
Perceptual-based Quality Metrics for Image and Video Services: A Survey
Engelke, U., & Zepernick, H. (2007) · Next Generation Internet Networks (NGI) · doi:10.1109/ngi.2007.371215 · Cited by 94
Testing the IQX Hypothesis for Exponential Interdependency between QoS and QoE of Voice Codecs iLBC and G.711
Hoßfeld, T., Hock, D., Tran‐Gia, P., Tutschku, K., & Fiedler, M. (2008) · Cited by 70
Self-citation
Packet Reordering Metrics
Morton, A., Ciavattone, L., Ramachandran, G., Shalunov, S., & Perser, J. (2006) · doi:10.17487/rfc4737 · Cited by 67
Packet Reordering Metrics
Perser, J., Morton, A., Ciavattone, L., Ramachandran, G., & Shalunov, S. (2006) · RFC · Cited by 61
Measurement and Analysis of Skype VoIP Traffic in 3G UMTS Systems
Tutschku, K., Hoßfeld, T., Binzenhöfer, A., & Fiedler, M. (2005) · Cited by 30
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Research works printed but not linked: 5

2005, Estimating End-to-End Performance in IP Networks for Data Applications
2003, Mapping Function for Transforming P 862 Raw Result Scores to MOS-LQO
khirman, 2002, Relationship between Quality-of-service and Quality-of-Experience for Public Internet Service, 3rd Passive Active Measurement Wksp
bouch, 2000, Quality Is in the Eye of the Beholder Meeting User's Requirements for Internet Quality of Service
2008, Vocabulary for Performance and Quality of Service

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Bibliography
(2013) · doi:10.1002/9781118649367.biblio
Bibliography
(2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821343-8.00030-7
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Bibliography
(2017) · Elsevier eBooks · doi:10.1016/b978-1-78548-109-3.50010-2
Differentiated Treatment of Internet TrafficPreprint
BITAG Technical Working Group (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2701464
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Bibliography
(2020) · Elsevier eBooks · doi:10.1016/b978-0-12-820488-7.00045-1
Exponential quantization
Yen, Y.-C., Chu, C.-Y., Chen, C.-N., Yeh, S., Chu, H.-H., & Polly Huang, B. (2013) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2534169.2491708
Uma Arquitetura para Auditoria de Nível de Serviço para Computação em Nuvem
Bachtold, J., Santin, A. O., Stihler, M., Marcon, A. L., & Viegas, E. K. (2012) · Simpósio Brasileiro de Cibersegurança (SBSeg) · doi:10.5753/sbseg.2012.20551
Offloading Robots’ Processing to the Cloud
de Mello, R. C., Ribeiro, M. R. N., & Frizera, A. (2022) · Springer tracts in advanced robotics · doi:10.1007/978-3-031-16908-3_2
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Ethernet networks with deterministic delays
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QoS Extensions for Flow-Awareness Networks
Kaczmarek, S., & Wolff, M. (2022) · International Journal of Electronics and Telecommunications · doi:10.24425/ijet.2022.139889
Operational Design of Expectation Management for Services
Bruhn, M. (2023) · Springer eBooks · doi:10.1007/978-3-662-67032-3_7
A predictive DASH QoE approach based on machine learning at multi-access edge computing
Islam, M. T. (2021) · doi:10.47749/t/unicamp.2021.1164589
Proposal for a Resource Allocation Model Aimed at Fog Computing
D’Amato, A. L. T., & Dantas, M. A. R. (2024) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-57870-0_34
QoIoTX: A QoE-Aware IoT Service Discovery Framework
Sanyour, R. (2024) · Journal of Electrical Systems · doi:10.52783/jes.3417
QoE Evaluation Model Based on EEG
Tao, X., Duan, Y., Qin, Z., Huang, D., & Wang, L. (2024) · Wireless networks · doi:10.1007/978-3-031-64155-8_2
System- and Element-Related Metrics Useful in the Evaluation of Resilience
Rak, J. (2024) · Computer communications and networks · doi:10.1007/978-3-031-64657-7_3
Feed4Cloud: Towards trustworthy QoE-aware cloud service monitoring using blockchain
Kapetanidou, I. A., Sarros, C.-A., Ledakis, G., & Tsaoussidis, V. (2024) · Future Generation Computer Systems · doi:10.1016/j.future.2024.107532
Network slicing for QoS and QoE driven network management
Miranda, G. (2024) · doi:10.63028/10067/2105470151162165141
Elvis: A Highly Scalable Virtual Internet Simulator
Boddu, D. K. (2025) · Journal of Electronics and Informatics · doi:10.36548/jei.2024.4.006
Optimizing Service Function Chains in Edge Computing: A Two-Stage Reinforcement Learning FrameworkPreprint
Sanaei, A., & Hashemi, M. R. (2025) · Research Square · doi:10.21203/rs.3.rs-6776473/v1
Comparison Method of Quality Estimates for Multiple Services
Urata, Y., Egi, N., Yamagishi, K., & Endo, N. (2025) · IEICE Transactions on Communications · doi:10.23919/transcom.2024ebp3178
QoE-aware edge server placement in mobile edge computing using an enhanced genetic algorithm
Sha, J., Wu, J., Wang, M., Pu, Y., Lu, S., & Bilal, M. (2025) · International Journal of Intelligent Networks · doi:10.1016/j.ijin.2025.07.003
QoE Maximization for RIS-Assisted Scattering Suppression in Offshore Communication Systems
Wu, G., You, J., & Wang, X. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3620609
Joint Optimization of Power Allocation and Reflection Coefficients for RIS-Assisted Offshore Communication Systems
You, J., Zhong, Y., Duan, H., Yang, C., & Wu, G. (2025) · International Conference on Computer Communication and Artificial Intelligence (CCAI) · doi:10.1109/ccai65422.2025.11189787
Data-Driven QoE Evaluation for Haptic-Visual Interaction
Fang, Y., Lu, Y., Wang, R., He, N., & Xu, Y. (2025) · doi:10.1145/3728485.3759174
ASimp: Automatic High-Poly 3D Mesh Simplification for Preprocessing Based on QoE
Lin, L., Kang, H., Shi, Y., Duan, H., Saddik, A. E., & Cai, W. (2025) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme59968.2025.11209908
Predicting subjective audiovisual quality of experience with oculomotor responses and perceptual video quality
Tünçok, E., Chaudhari, N., Swedlow, N., Reeves, S. M., Lu, L., Daly, S. J., & Darcy, D. P. (2025) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex65720.2025.11219974

Authors: Fiedler, M., Hossfeld, T., & Tran-Gia, P.
Affiliations: Blekinge Institute of Technology (SE)
University of Würzburg (DE)
ORCID: Fiedler, Markus
Hossfeld, Tobias
Venue: IEEE Network
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2010-03
Volume: 24
Issue: 2
Pages: 36-41
ISSN: 0890-8044 (ISSN-L)
DOI: 10.1109/mnet.2010.5430142
OpenAlex: W2022359415
Cited by: 837
References: 6
Citations by year: 2026: 13 · 2025: 20 · 2024: 23 · 2023: 21 · 2022: 40 · 2021: 36 · 2020: 53 · 2019: 74 · 2018: 65 · 2017: 64 · 2016: 78 · 2015: 86 · 2014: 87 · 2013: 77 · 2012: 58
FWCI: 65.69
Type: journal article
Language: en
Open access: green
urn.kb.se
Licence: other-oa
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Network (publishedVersion)
KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
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
Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
Keywords: quality of experience, quality of service, exponential relationship, user perception, streaming services, mean opinion score, packet loss, packet reordering, jitter, web browsing

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A generic quantitative relationship between quality of experience and quality of service

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