A generic quantitative relationship between quality of experience and quality of service
By M. Fiedler, Tobias Hossfeld, Phuoc Tran-Gia. IEEE Network, 2010
876 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/39ba0a2b362b65fdfcdd49d7fdea13cbae6795de
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ying-Chang Liang
- Dong In Kim
- Dinh Thai Hoang
- Dusist Niyato
- Ping Wang
- Mohammad Ali Salahuddin
- Thomas Zinner
- Phuoc Tran-Gia
In Computer Vision and Pattern Recognition
- Mohammad Ali Salahuddin
- Sara Ayoubi
- Ying-Chang Liang
- Sebastian Möller
- Dusist Niyato
- Raouf Boutaba
- P. Le Callet
- Dinh Thai Hoang
In Sociology and Political Science
Citations in the corpus
- Qualinet White Paper on Definitions of Quality of Experience (2013, background): “The technical aspects of a system’s performance (and particularly so in the case of multimedia systems) can have a significant (and sometimes defining) impact on some dimensions of QoE (Fiedler et al., 2010; Couto da Silva et al., 2008).”
- Cognitive Internet of Things: A New Paradigm Beyond Connection (2014, background): “While existing QoE in communications and networking is mostly derived from communication quality provisioning [61], neglecting the role of upper layer computation resource and application quality.”
- Quantification of YouTube QoE via Crowdsourcing (2011, background): “To this end, Figure 4 depicts the MOS values for one and three seconds stalling length for varying number of stalling events together with exponential fitting curves (as discussed in [20]).”
- Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (2018, background): “and exponential interdependency of QoE and QoS hypothesis [160].”
- A comprehensive survey on machine learning for networking: evolution, applications and research opportunities (2018, methodology): “While some find it sufficient to correlate the QoE to a single network QoS parameter [145, 240, 383, 408], e.”