A new proposal to provide estimation of QoS and QoE over WiMAX networks: An approach based on computational intelligence and discrete-event simulation
Abstract
This paper presents an estimation of Quality of Experience (QoE) metrics based on Quality of Service (QoS) metrics in WiMAX networks. Applications used to generate such estimations were EvalVid and Network Simulator 2 (NS-2). The QoE was estimated by employing a Multilayer Artificial Neural Network by means of the WEKA tool. The results show a very efficient estimation of metrics of QoE parameters with respect to QoS parameters.
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Different QoE metrics can lead to very different model parameters.
“It is observed that different QoE metrics can lead to very different model parameters.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [287]
With appropriate configuration, all the models are able to predict QoE with very high accuracy.
“Nevertheless, with appropriate configuration all the models are able to predict the QoE with very high accuracy.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [287]
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 [287]
Cites
The WEKA data mining software: an update
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EvalVid – A Framework for Video Transmission and Quality Evaluation
Klaue, J., Rathke, B., & Wolisz, A. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45232-4_16 · Cited by 789 · see citing works
Inferring video QoE in real time
Venkataraman, M., & Chatterjee, M. (2011) · IEEE Network · doi:10.1109/mnet.2011.5687947 · Cited by 79 · see citing works
Quality of experience management in mobile content delivery systems
Agboma, F., & Liotta, A. (2010) · Telecommunication Systems · doi:10.1007/s11235-010-9355-6 · Cited by 77 · see citing works
Design and Implementation of a QoS-included WiMAX Module for NS-2 Simulator
Belghith, A., & Nuaymi, L. (2008) · doi:10.4108/icst.simutools2008.2958 · Cited by 52 · see citing works
Menkovski, V., Exarchakos, G., & Liotta, A. (2010) · International Workshop on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2010.5517692 · Cited by 50 · see citing works
A Utility-Based QoS Model for Emerging Multimedia Applications
Mu, M., Mauthe, A., & Garcia, F. (2008) · International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST) · doi:10.1109/ngmast.2008.24 · Cited by 34 · see citing works
Perspectives on quality of experience for video streaming over WiMAX
Vishwanath, A., Dutta, P., Chetlu, M., Gupta, P., Shivkumar Kalyanaraman, A., & Ghosh, A. (2010) · ACM SIGMOBILE Mobile Computing and Communications Review · doi:10.1145/1740437.1740440 · Cited by 29 · see citing works
Quality of Experience management framework for real-time multimedia applications
Mu, N. A., Cerqueira, E., Boavida, F., et al. (2009) · International Journal of Internet Protocol Technology · doi:10.1504/ijipt.2009.024170 · Cited by 27 · see citing works
Objective and subjective quality assessment with expert and non-expert viewers
Speranza, F., Poulin, F., Renaud, R., et al. (2010) · International Workshop on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2010.5518177 · Cited by 16 · see citing works
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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
- Authors
- Machado, V. A., Silva, C. N., Oliveira, R. S., Melo, A. M., Silva, M., Frances, C. R. L., Costa, J. C. W. A., Vijaykumar, N. L., & Hirata, C. M.
- Affiliations
- Universidade Federal do Pará (BR)
- Instituto Nacional de Pesquisas Espaciais (BR)
- Instituto Tecnológico de Aeronáutica (BR)
- Venue
- 2011 IEEE Third Latin-American Conference on Communications
- Publisher
- IEEE
- Published
- 2011-10
- Pages
- 1-6
- OpenAlex
- W2084726407
- Cited by
- 32
- References
- 10
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 3 · 2020: 3 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 3 · 2015: 1 · 2014: 10 · 2013: 1 · 2012: 1
- FWCI
- 2.87
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Latin-American Conference on Communications (publishedVersion)
- Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (submittedVersion)
- 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, quality of service, QoE estimation, QoS metrics, multilayer neural networks, WEKA, video streaming, network simulation
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