The Logarithmic Nature of QoE and the Role of the Weber-Fechner Law in QoE Assessment
Abstract
The Weber-Fechner Law (WFL) is an important principle in psychophysics which describes the relationship be- tween the magnitude of a physical stimulus and its perceived intensity. With the sensory system of the human body, in many cases this dependency turns out to be of logarithmic nature. Re- cent quantitative QoE research shows that in several different scenarios a similar logarithmic relationship can be observed be- tween the size of a certain QoS parameter of the communication system and the resulting QoE on the user side as observed during appropriate user trials. In this paper, we discuss this surprising link in more detail. After a brief survey on the background of the WFL, we review its basic implications with respect to related work on QoE assessment for VoIP, most notably the recently published IQX hypothesis, before we present results of our own trials on QoE assessment for mobile broadband scenarios which confirm this dependency also for data services. Finally, we point out some conclusions and directions for further research.
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In the literature, simple-regression models with a single feature are most dominant, although the collective impact of different QoS parameters was also considered.
“In the literature, simple-regression models with a single feature are most dominant [145, 240, 383, 408], although the collective impact of different QoS parameters was also considered [23,132].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [383]
Some works find it sufficient to correlate QoE to a single network QoS parameter, while others argue that multiple QoS parameters impact QoE and need to be considered in tandem.
“While some find it sufficient to correlate the QoE to a single network QoS parameter [145, 240, 383, 408], e.g.delay or throughput, others argue that multiple QoS parameters impact the QoE and need to be considered in tandem as features in a QoE/QoS correlation model [89,102,114,235,287,328,432].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [383]
Cites
De pulsu, resorptione, auditu et tactu : annotationes anatomicae et physiologicae
Weber, E. H. (1834) · e-rara.ch · doi:10.3931/e-rara-70261 · Cited by 384 · see citing works
Spatial attention and the mental number line: Evidence for characteristic biases and compression
Longo, M. R., & Lourenco, S. F. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.11.002 · Cited by 201 · see citing works
Quality of Experience in Communications Ecosystem
Kilkki, K. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.3217/jucs-014-05-0615 · Cited by 176 · see citing works
Time-estimation error following Weber–Fechner law may explain subadditive time-discounting
Takahashi, T. (2006) · Medical Hypotheses · doi:10.1016/j.mehy.2006.05.056 · Cited by 120 · see citing works
Hoßfeld, T., Hock, D., Tran‐Gia, P., Tutschku, K., & Fiedler, M. (2008) · Cited by 70 · see citing works
Quantification of Quality of Experience for Edge-Based Applications
Hoßfeld, T., Tran‐Gia, P., & Fiedler, M. (2007) · Springer eBooks · doi:10.1007/978-3-540-72990-7_34 · Cited by 69 · see citing works
Perceived speech quality prediction for voice over IP-based networks
Sun, L., & Ifeachor, E. (2003) · doi:10.1109/icc.2002.997307 · Cited by 66 · see citing works
Traffic monitoring and analysis for the optimization of a 3G network
Ricciato, F. (2006) · IEEE Wireless Communications · doi:10.1109/mwc.2006.275197 · Cited by 66 · see citing works
Evaluating Users’ Satisfaction in Packet Networks Using Random Neural Networks
Rubino, G., Tirilly, P., & Varela, M. (2006) · Lecture notes in computer science · doi:10.1007/11840817_32 · Cited by 45 · see citing works
From charging for Quality of Service to charging for Quality of Experience
Reichl, P. (2009) · Annals of Telecommunications · doi:10.1007/s12243-009-0144-8 · Cited by 38 · see citing works
Self-citation
Flagged first, then by citations
2 of the 12 references couldn’t be matched to a known paper.
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Luong, N. C., Hoang, D. T., Gong, S., Niyato, D. T., Wang, P., Liang, Y., & Kim, D. I. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2916583 · Cited by 2,114 · see citing works
Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036 · see citing works
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Sayeed, S., & Marco-Gisbert, H. (2019) · Applied Sciences · doi:10.3390/app9091788 · Cited by 380 · see citing works
From QoS to QoE: A Tutorial on Video Quality Assessment
Chen, Y., Wu, K., & Zhang, Q. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2363139 · Cited by 342 · see citing works
Initial delay vs. interruptions: Between the devil and the deep blue sea
Hoßfeld, T., Egger, S., Schatz, R., Fiedler, M., Masuch, K., & Lorentzen, C. (2012) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2012.6263849 · Cited by 243 · see citing works
Self-citationChallenges of QoE management for cloud applications
Hobfeld, T., Schatz, R., Varela, M., & Timmerer, C. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6178831 · Cited by 212 · see citing works
Self-citationReichl, P., Tuffin, B., & Schatz, R. (2011) · Telecommunication Systems · doi:10.1007/s11235-011-9503-7 · Cited by 182 · see citing works
Self-citationService-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud
Nishio, T., Shinkuma, R., Takahashi, T., & Mandayam, N. B. (2013) · doi:10.1145/2492348.2492354 · Cited by 170 · see citing works
Waiting times in quality of experience for web based services
Egger, S., Hoßfeld, T., Schatz, R., & Fiedler, M. (2012) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2012.6263888 · Cited by 153 · see citing works
Self-citationSurvey and Challenges of QoE Management Issues in Wireless Networks
Baraković, S., & Skorin‐Kapov, L. (2013) · Journal of Computer Networks and Communications · doi:10.1155/2013/165146 · Cited by 150 · see citing works
“Time is bandwidth”? Narrowing the gap between subjective time perception and Quality of Experience
Egger, S., Reichl, P., Hoßfeld, T., & Schatz, R. (2012) · International Conference on Communications · doi:10.1109/icc.2012.6363769 · Cited by 129 · see citing works
Self-citationA Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks
Wang, Y., Li, P., Jiao, L., Su, Z., Cheng, N., Shen, X. S., & Zhang, P. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2016.1500184wc · Cited by 125 · see citing works
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Du, H., Liu, J., Niyato, D. T., Kang, J., Xiong, Z., Zhang, J., & Kim, D. I. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3280978 · Cited by 124 · see citing works
A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services
Skorin-Kapov, L., Varela, M., Hoßfeld, T., & Chen, K.-T. (2018) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/3176648 · Cited by 116 · see citing works
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Eswara, N., Ashique, S., Panchbhai, A., Chakraborty, S., Sethuram, H. P., Kuchi, K., Kumar, A., & Channappayya, S. S. (2019) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2019.2895223 · Cited by 107 · see citing works
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Self-citationThe memory effect and its implications on Web QoE modeling
Hosfeld, T., Biedermann, S., Schatz, R., Platzer, A., Egger, S., & Fiedler, M. (2011) · International Teletraffic Congress · doi:10.5555/2043468.2043485 · Cited by 104 · see citing works
Self-citationA Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction
Kougioumtzidis, G., Poulkov, V. K., Zaharis, Z. D., & Lazaridis, P. I. (2022) · IEEE Access · doi:10.1109/access.2022.3149592 · Cited by 95 · see citing works
Quality-of-Experience (QoE) in Emerging Mobile Social Networks
Dong, M., KIMATA, T., Sugiura, K., & Zettsu, K. (2014) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2013thp0011 · Cited by 92 · see citing works
Nasralla, M. M., Khattak, S. B. A., Rehman, I. U., & Iqbal, M. (2023) · Sensors · doi:10.3390/s23135882 · Cited by 92 · see citing works
Narrowing the Gap Between QoS Metrics and Web QoE Using Above-the-fold Metrics
da Hora, D. N., Asrese, A. S., Christophides, V., Teixeira, R., & Rossi, D. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-76481-8_3 · Cited by 81 · see citing works
On User-Centric Modular QoE Prediction for VoIP Based on Machine-Learning Algorithms
Charonyktakis, P., Plakia, M., Tsamardinos, I., & Papadopouli, M. (2016) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2015.2461216 · Cited by 75 · see citing works
Survey on machine learning-based QoE-QoS correlation models
Aroussi, S., & Mellouk, A. (2014) · International Conference on Computing, Management and Telecommunications · doi:10.1109/commantel.2014.6825604 · Cited by 73 · see citing works
Chen, J., Chen, J., & Zhang, H. (2021) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2021.3055494 · Cited by 68 · see citing works
Reinforcement learning–based QoS/QoE‐aware service function chaining in software‐driven 5G slices
Chen, X., Li, Z., Zhang, Y., Long, R., Yu, H., Du, X., & Guizani, M. (2018) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3477 · Cited by 67 · see citing works
Zhang, R., Zhao, C., Du, H., Niyato, D. T., Wang, J., Sawadsitang, S., Shen, X., & Kim, D. I. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3582864 · Cited by 65 · see citing works
Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Services
Du, H., Wang, J., Niyato, D. T., Kang, J., Xiong, Z., Shen, X., & Kim, D. I. (2022) · IEEE Network · doi:10.1109/mnet.128.2200338 · Cited by 62 · see citing works
A Continuous QoE Evaluation Framework for Video Streaming Over HTTP
Eswara, N., Manasa, K., Kommineni, A., Chakraborty, S., Sethuram, H. P., Kuchi, K., Kumar, A., & Channappayya, S. S. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2742601 · Cited by 61 · see citing works
Quality of Service Versus Quality of Experience
Varela, M., Skorin‐Kapov, L., & Ebrahimi, T. (2014) · T-labs series in telecommunication services · doi:10.1007/978-3-319-02681-7_6 · Cited by 60 · see citing works
Staelens, N., Meulenaere, J. D., Claeys, M., Wallendael, G. V., den Broeck, W. V., Cock, J. D., Rik Van De Walle, B., Demeester, P. M. A., & Turck, F. D. (2014) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2014.2359255 · Cited by 59 · see citing works
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Laghari, K. U. R., Crespi, N., Molina, B., & Palau, C. E. (2011) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2011.58 · Cited by 57 · see citing works
Managing the Quality of Experience in the Multimedia Internet of Things: A Layered-Based Approach
Floris, A., & Atzori, L. (2016) · Sensors · doi:10.3390/s16122057 · Cited by 54 · see citing works
“We used the linear approach because it is a simple approach that may provide good results with a small dataset like ours and the logarithmic/exponential approach because it is usually used for modeling the quality perception with regard to QoS [27,28].”
MethodEffects of noise on pedestrians in urban environments where road traffic is the main source of sound
González, D. M., Morillas, J. M. B., & Gozalo, G. R. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.159406 · Cited by 54 · see citing works
Interference Shaping for Improved Quality of Experience for Real-Time Video Streaming
Singh, S., Andrews, J. G., & Veciana, G. A. D. (2012) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2012.120811 · Cited by 52 · see citing works
Troìa, S., Alvizu, R., & Maier, G. A. (2019) · IEEE Access · doi:10.1109/access.2019.2953498 · Cited by 51 · see citing works
Attention-Based QoE-Aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality
Yu, J., Alhilal, A. Y., Zhou, T., Hui, P., & Tsang, D. H. K. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3380820 · Cited by 50 · see citing works
Varela, M., Zwickl, P., Reichl, P., Xie, M., & Schulzrinne, H. G. (2015) · IEEE International Conference on Communications workshops · doi:10.1109/iccw.2015.7247432 · Cited by 50 · see citing works
Self-citationHuang, W., Ding, L., Meng, D., Hwang, J., Xu, Y., & Zhang, W. (2018) · IEEE Access · doi:10.1109/access.2018.2800036 · Cited by 49 · see citing works
QoE-Driven Transmission-Aware Cache Placement and Cooperative Beamforming Design in Cloud-RANs
Sun, R., Wang, Y., Cheng, N., Lyu, L., Zhang, S., Zhou, H., & Shen, X. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2952726 · Cited by 46 · see citing works
Multidimensional modelling of quality of experience for mobile Web browsing
Baraković, S., & Skorin‐Kapov, L. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.071 · Cited by 44 · see citing works
Schatz, R., Egger, S., & Platzer, A. (2011) · International Conference on Communications · doi:10.1109/icc.2011.5963220 · Cited by 42 · see citing works
Self-citationIshtiaque, A., Eakin, H. C., Chhetri, N., Myint, S. W., Dewan, A. M., & Kamruzzaman, M. (2019) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2019.01.020 · Cited by 40 · see citing works
Utility-oriented resource allocation for 360-degree video transmission over heterogeneous networks
Huang, W., Ding, L., Zhai, G., Min, X., Hwang, J., Xu, Y., & Zhang, W. (2018) · Digital Signal Processing · doi:10.1016/j.dsp.2018.09.011 · Cited by 40 · see citing works
Unravelling the relationship between response time and user experience in mobile applications
Yu, M., Zhou, R., Cai, Z., Tan, C., & Wang, H. (2020) · Internet Research · doi:10.1108/intr-05-2019-0223 · Cited by 38 · see citing works
QoE Evaluation Methods for 360-Degree VR Video Transmission
Fei, Z., Wang, F., Wang, J., & Xie, X. (2019) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2019.2956631 · Cited by 37 · see citing works
Survey of research on Quality of Experience modelling for web browsing
Baraković, S., & Skorin‐Kapov, L. (2017) · Quality and User Experience · doi:10.1007/s41233-017-0009-2 · Cited by 37 · see citing works
Schatz, R., & Egger, S. (2011) · doi:10.1145/2018602.2018608 · Cited by 35 · see citing works
Self-citationFlexible connectivity and QoE/QoS management for 5G Networks: The 5G NORMA view
Gramaglia, M., Digon, I., Friderikos, V., von Hugo, D., Mannweiler, C., Puente, M. A., Samdanis, K., & Sayadi, B. (2016) · IEEE International Conference on Communications workshops · doi:10.1109/iccw.2016.7503816 · Cited by 34 · see citing works
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Hoßfeld, T., Skorin‐Kapov, L., Heegaard, P. E., & Varela, M. (2018) · Quality and User Experience · doi:10.1007/s41233-018-0017-x · Cited by 33 · see citing works
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Gijón, C., Toril, M., Luna-Ramírez, S., & Marí-Altozano, M. L. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2933068 · Cited by 32 · see citing works
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Ruan, J., & Xie, D. (2021) · Electronics · doi:10.3390/electronics10172155 · Cited by 31 · see citing works
Alkurd, R., Abualhaol, I. Y., & Yanıkömeroğlu, H. (2020) · IEEE Access · doi:10.1109/access.2020.3014301 · Cited by 30 · see citing works
A study on the effects of quality of service parameters on perceived video quality
Paudyal, P., Battisti, F., & Carli, M. (2014) · European Workshop on Visual Information Processing · doi:10.1109/euvip.2014.7018383 · Cited by 29 · see citing works
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Marchese, M., Patrone, F., & Cello, M. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2739298 · Cited by 29 · see citing works
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Tsigkari, D., & Spyropoulos, T. (2022) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2022.3150961 · Cited by 29 · see citing works
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Hoßfeld, T., Varela, M., Skorin‐Kapov, L., & Heegaard, P. E. (2023) · IEEE Communications Magazine · doi:10.1109/mcom.006.2200490 · Cited by 29 · see citing works
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Menon, V. V., Rajendran, P. T., Feldmann, C., Schoeffmann, K., Ghanbari, M., & Timmerer, C. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3290725 · Cited by 29 · see citing works
Nourikhah, H., & Akbari, M. K. (2016) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2016.04.001 · Cited by 29 · see citing works
Hoßfeld, T., Fiedler, M., & Zinner, T. (2011) · Next Generation Internet Networks (NGI) · doi:10.1109/ngi.2011.5985864 · Cited by 28 · see citing works
Feng, L., Jiang, X., Sun, Y., Niyato, D. T., Zhou, Y., Gu, S., Yang, Z., Yang, Y., & Zhou, F. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3509680 · Cited by 27 · see citing works
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Ma, S., Guo, S., Wang, K., Jia, W., & Guo, M. (2020) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2020.2966196 · Cited by 27 · see citing works
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Saleme, E. B., Covaci, A., Assres, G. M., Comşa, I.-S., Trestian, R., Santos, C. A. S., & Ghinea, G. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102550 · Cited by 27 · see citing works
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Husić, J. B., Baraković, S., Dinarević, E. C., Slamnik–Kriještorac, N., Oćuz, M., Dedović, A., & Zupčić, O. (2019) · International Journal of Network Management · doi:10.1002/nem.2083 · Cited by 27 · see citing works
The Web, the Users, and the MOS: Influence of HTTP/2 on User Experience
Bocchi, E., Cicco, L. D., Mellia, M., & Rossi, D. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-54328-4_4 · Cited by 26 · see citing works
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Park, J., Hwang, J., Li, Q., Xu, Y., & Huang, W. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2789899 · Cited by 26 · see citing works
Mobile quality of experience: Recent advances and challenges
Siris, V. A., Balampekos, K., & Marina, M. K. (2014) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2014.6815244 · Cited by 25 · see citing works
Toward task-dependent evaluation of web-QoE: Free exploration vs. “Who Ate What?”
Strohmeier, D., Pyykko, S. J., & Raake, A. (2012) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/glocomw.2012.6477771 · Cited by 24 · see citing works
A Generic Quantitative Relationship to Assess Interdependency of QoE and QoS
(2013) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2013.02.009 · Cited by 23 · see citing works
Network Traffic Type-Based Quality of Experience (QoE) Assessment for Universal Services
Zheng, X., & Zhang, A. (2019) · Applied Sciences · doi:10.3390/app9194107 · Cited by 23 · see citing works
QoS to QoE mapping model for wired/wireless video communication
Battisti, F., Carli, M., & Paudyal, P. (2014) · Euro Med Telco Conference (EMTC) · doi:10.1109/emtc.2014.6996648 · Cited by 22 · see citing works
QoE-Oriented Two-Stage Resource Allocation in Femtocell Networks
Li, P., Wang, Y., Zhang, W., & Huang, Y. (2014) · IEEE Vehicular Technology Conference · doi:10.1109/vtcfall.2014.6966143 · Cited by 22 · see citing works
Cross-Layer QoE Optimization for D2D Communication in CR-Enabled Heterogeneous Cellular Networks
Chen, J., Deng, Y., Jia, J., Döhler, M., & Nallanathan, A. (2018) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2018.2868371 · Cited by 22 · see citing works
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Tong, H., Chen, M., Zhao, J., Hu, Y., Yang, Z., Liu, Y., & Yin, C. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3546507 · Cited by 21 · see citing works
Velarde, J. G., Montero-Parejo, M. J., Blanco, J. H., & García-Moruno, L. (2018) · Sustainability · doi:10.3390/su10082593 · Cited by 21 · see citing works
A Layered Model for Quality Estimation of HTTP Video from QoS Measurements
Mäki, T., Varela, M., & Ammar, D. (2015) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis.2015.41 · Cited by 20 · see citing works
Yin, J., Chen, Y., Sang, G., Liao, B. Y., & Wang, X. (2019) · IEEE Access · doi:10.1109/access.2019.2908681 · Cited by 20 · see citing works
Quality of Experience as a Selection Criterion for Web Services
Lalanne, F., Cavalli, A., & Maag, S. (2012) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis.2012.81 · Cited by 19 · see citing works
Towards Evaluating the Quality of Experience of Remote Patient Monitoring Services
Skorin‐Kapov, L., Dobrijević, O., & Piplica, D. (2014) · International Journal of Mobile Human Computer Interaction · doi:10.4018/ijmhci.2014100104 · Cited by 18 · see citing works
Joint Optimization of Quality of Experience and Power Consumption in OFDMA Multicell Networks
Shao, H., Jing, W., Wen, X., Lu, Z., Zhang, H., Chen, Y., & Ling, D. (2015) · IEEE Communications Letters · doi:10.1109/lcomm.2015.2508924 · Cited by 18 · see citing works
Mobile-Application Loading-Animation Design and Implementation Optimization
Pibernik, J., Dolić, J., Mandić, L., & Kovač, V. (2023) · Applied Sciences · doi:10.3390/app13020865 · Cited by 18 · see citing works
QoE Prediction for Gaming Video Streaming in O-RAN Using Convolutional Neural Networks
Kougioumtzidis, G., Vlahov, A., Poulkov, V. K., Lazaridis, P. I., & Zaharis, Z. D. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3362275 · Cited by 18 · see citing works
Khorsandroo, S., Noor, R. M., & Khorsandroo, S. (2012) · International Conference on Ubiquitous and Future Networks · doi:10.1109/icufn.2012.6261727 · Cited by 18 · see citing works
FRAMEWORK FOR MODELLING MOBILE NETWORK QUALITY OF EXPERIENCE THROUGH BIG DATA ANALYTICS APPROACH
Yusuf-Asaju, A. W., Dahalin, Z. M., & Ta’a, A. (2017) · Journal of Information and Communication Technology · doi:10.32890/jict2018.17.1.8246 · Cited by 17 · see citing works
Measuring the perceptual quality of Skype sources
Chen, C.-N., Chu, C.-Y., Yeh, S., Chu, H.-H., & Polly Huang, B. (2012) · doi:10.1145/2342541.2342543 · Cited by 17 · see citing works
Zhang, X., & Wang, J. (2018) · Conference on Information Sciences and Systems · doi:10.1109/ciss.2018.8362265 · Cited by 17 · see citing works
Lab experiment vs. crowdsourcing
Yen, Y.-C., Chu, C.-Y., Yeh, S., Chu, H.-H., & Polly Huang, B. (2013) · Asian Internet Engineering Conference · doi:10.1145/2534142.2534151 · Cited by 16 · see citing works
QoE-aware optimization for video delivery and storage
Devlić, A., Kamaraju, P., Lungaro, P., Segall, Z. Z., & Tollmar, K. (2015) · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) · doi:10.1109/wowmom.2015.7158122 · Cited by 16 · see citing works
DRL approach for online user-centric QoS-Aware SFC embedding with dynamic VNF placement
Taktak, W., Escheikh, M., & Barkaoui, K. (2024) · Computer Networks · doi:10.1016/j.comnet.2024.110637 · Cited by 16 · see citing works
Pricing and regulating Quality of Experience
Wahlmueller, S., Zwickl, P., & Reichl, P. (2012) · Next Generation Internet Networks (NGI) · doi:10.1109/ngi.2012.6252165 · Cited by 16 · see citing works
Self-citationModeling User Expectations & Satisfaction for SaaS Applications Using Multi-agent Negotiation
Najjar, A., Gravier, C., Serpaggi, X., & Boissier, O. (2016) · IEEE/WIC/ACM International Conference on Web Intelligence · doi:10.1109/wi.2016.0062 · Cited by 16 · see citing works
CrowdMi: Scalable and Diagnosable Mobile Voice Quality Assessment Through Wireless Analytics
Ouyang, Y., Yan, T., & Wang, G. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2387771 · Cited by 15 · see citing works
A Novel Online QoE Prediction Model Based on Multiclass Incremental Support Vector Machine
Youssef, Y. B., Afif, M., Ksantini, R., & Tabbane, S. (2018) · International Conference on Advanced Information Networking and Applications (AINA) · doi:10.1109/aina.2018.00058 · Cited by 15 · see citing works
Evaluating Quality of Web Services: A Short Survey
Kondratyeva, O., Kushik, N., Cavalli, A. R., & Yevtushenko, N. V. (2013) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws.2013.83 · Cited by 15 · see citing works
Mrvelj, Š., & Matulin, M. (2016) · Multimedia Systems · doi:10.1007/s00530-016-0531-8 · Cited by 15 · see citing works
Analysis of Big Data and Quality-of-Experience in High-Density Wireless Network
Qaiyum, S., Aziz, I. A., & Jaafar, J. (2016) · International Conference on Computer and Information Sciences · doi:10.1109/iccoins.2016.7783229 · Cited by 14 · see citing works
- Authors
- Reichl, P., Egger, S., Schatz, R., & D'Alconzo, A.
- Affiliations
- Forschungszentrum Telekommunikation Wien (AT)
- Venue
- 2010 IEEE International Conference on Communications
- Publisher
- IEEE
- Published
- 2010-05
- Pages
- 1-5
- ISSN
- 1550-3607 (ISSN-L)
- OpenAlex
- W1978421850
- Cited by
- 284
- References
- 12
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 12 · 2023: 16 · 2022: 13 · 2021: 9 · 2020: 11 · 2019: 28 · 2018: 34 · 2017: 27 · 2016: 24 · 2015: 26 · 2014: 20 · 2013: 17 · 2012: 21
- FWCI
- 12.89
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Communications (publishedVersion)
- 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 › Engineering › Aerospace Engineering › Human auditory perception and evaluation
- Keywords
- quality of experience, Weber-Fechner law, psychophysics, VoIP, mobile broadband, data services, user testing, QoS parameters
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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