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Investigation into User-Centric QoE and Network-Centric Parameters for YouTube Service on Mobile Networks

Authors:

Patikorn Anchuen,

Peerapong UthansakulAuthors Info & Claims

ICCBN '19: Proceedings of the 7th International Conference on Communications and Broadband Networking

Pages 28 - 32

https://doi.org/10.1145/3330180.3330186

Published: 12 April 2019 Publication History

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Abstract

The number of users on mobile networks has continuously increased due to many attractive multimedia services. According to this reason, the service operators have to regularly improve their networks in order to retain the need of existing users and also attract the expectation of new users. Nowadays, the operators concern Quality of Experience (QoE) metric as the key performance index to evaluate the networks rather than Quality of Service (QoS) metric. However, the QoE metric is based on the viewpoints of domain's experiences which the experiences from users and networks might not be correlated. Therefore, in this paper, the demonstration of user-centric and network-centric viewpoints based on QoS measurement via Drive Tests on mobile networks is presented. The difference viewpoints of QoE derived from user-centric and QoS parameters achieved by network-centric have been investigated through mobile networks of top three operators in Thailand. The results indicate that only some QoS parameters can provide the same trend as QoE. It implies that the operators should set some parameters as the higher priority for improving the network quality if they want to satisfy the experience of users.

References

[1]

Index, C. V. N. (2017). Global mobile data traffic forecast update, 2016-2021 white paper. Cisco: San Jose, CA, USA.

Google Scholar

[2]

Agiwal, M., Roy, A., & Saxena, N. (2016). Next generation 5G wireless networks: A comprehensive survey. IEEE Communications Surveys & Tutorials, 18(3), 1617--1655.

Digital Library

Google Scholar

[3]

Brunnström, K., Beker, S. A., De Moor, K., Dooms, A., Egger, S., Garcia, M. N., ... & Lawlor, B. (2013). Qualinet white paper on definitions of quality of experience.

Google Scholar

[4]

Chen, Y., Wu, K., & Zhang, Q. (2015). From QoS to QoE: A tutorial on video quality assessment. IEEE Communications Surveys & Tutorials, 17(2), 1126--1165.

Digital Library

Google Scholar

[5]

Mjhool, A. Y. (2016). Evaluation of User Perceived QoE in Mobile Systems Using Social Media Analytics. {online} Available: https://repository.lib.fit.edu/handle/11141/1133.

Google Scholar

[6]

Buenestado, V., Toril, M., Luna-Ramírez, S., Ruiz-Avilés, J. M., & Mendo, A. (2017). Self-tuning of remote electrical tilts based on call traces for coverage and capacity optimization in LTE. IEEE Transactions on Vehicular Technology, 66(5), 4315--4326.

Google Scholar

[7]

Ouyang, Y., Li, Z., Su, L., Lu, W., & Lin, Z. (2017). APP-SON: Application characteristics-driven SON to optimize 4G/5G network performance and quality of experience. In 2017 IEEE International Conference on Big Data (Big Data) (pp. 1514--1523).

Crossref

Google Scholar

[8]

Tervo, O., Pennanen, H., Christopoulos, D., Chatzinotas, S., & Ottersten, B. (2018). Distributed optimization for coordinated beamforming in multicell multigroup multicast systems: Power minimization and SINR balancing. IEEE Transactions on Signal Processing, 66(1), 171--185

Crossref

Google Scholar

[9]

Wang, R., Zhang, X., Wang, Y., Chen, K., & Tao, X. (2017). QoE-Oriented Random Access for Hybrid MTC and Cellular Communications. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring) (pp. 1--6).

Google Scholar

[10]

Shivakumar, M. V., & Gautam, S. (2016). MOS estimate improvement of ITU-T opinion model through erasure coding technique. In 2016 Conference on Advances in Signal Processing (CASP) (pp. 54--59). IEEE.

Crossref

Google Scholar

[11]

Jahromi, H. Z., Hines, A., & Delanev, D. T. (2018). Towards application-aware networking: Ml-based end-to-end application kpi/qoe metrics characterization in sdn. In 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN) (pp. 126--131). IEEE.

Crossref

Google Scholar

[12]

Anchuen, P., Uthansakul, P., & Uthansakul, M. (2016). QOE model in cellular networks based on QOS measurements using Neural Network approach. In 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (pp. 1--5). IEEE.

Crossref

Google Scholar

[13]

{online} Available: http://www.azenqos.com/

Google Scholar

[14]

International Telecommunication Union (1996). ITU-T Rec. P.800: Methods for subjective determination of transmission quality.

Google Scholar

Cited By

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Wu RLi SZhang XGao W(2023)QoS to QoE Mapping Based on Optimised BP Neural Networks2023 8th International Conference on Image, Vision and Computing (ICIVC)10.1109/ICIVC58118.2023.10270792(801-806)Online publication date: 27-Jul-2023
https://doi.org/10.1109/ICIVC58118.2023.10270792
Anchuen PUthansakul PUthansakul M(2021)QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular NetworksIEEE Access10.1109/ACCESS.2021.31062419(116215-116230)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3106241
Adarsh VNekrasov MPaul UErmakov AGupta AVigil-Hayes MZegura EBelding E(2021)Too Late for Playback: Estimation of Video Stream Quality in Rural and Urban ContextsPassive and Active Measurement10.1007/978-3-030-72582-2_9(141-157)Online publication date: 29-Mar-2021
https://dl.acm.org/doi/10.1007/978-3-030-72582-2_9
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Index Terms

Investigation into User-Centric QoE and Network-Centric Parameters for YouTube Service on Mobile Networks
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices
      1. Mobile devices

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ICCBN '19: Proceedings of the 7th International Conference on Communications and Broadband Networking

April 2019

76 pages

ISBN:9781450362474

DOI:10.1145/3330180

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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UPM: Universiti Putra Malaysia
NITech: Nagoya Institute of Technology
Iv. Javakhishvili Tbilisi State University, Georgia

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Association for Computing Machinery

New York, NY, United States

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Published: 12 April 2019

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ICCBN 2019: 2019 7th International Conference on Communications and Broadband Networking

April 12 - 15, 2019

Nagoya, Japan

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Wu RLi SZhang XGao W(2023)QoS to QoE Mapping Based on Optimised BP Neural Networks2023 8th International Conference on Image, Vision and Computing (ICIVC)10.1109/ICIVC58118.2023.10270792(801-806)Online publication date: 27-Jul-2023
https://doi.org/10.1109/ICIVC58118.2023.10270792
Anchuen PUthansakul PUthansakul M(2021)QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular NetworksIEEE Access10.1109/ACCESS.2021.31062419(116215-116230)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3106241
Adarsh VNekrasov MPaul UErmakov AGupta AVigil-Hayes MZegura EBelding E(2021)Too Late for Playback: Estimation of Video Stream Quality in Rural and Urban ContextsPassive and Active Measurement10.1007/978-3-030-72582-2_9(141-157)Online publication date: 29-Mar-2021
https://dl.acm.org/doi/10.1007/978-3-030-72582-2_9
Uthansakul PAnchuen PUthansakul MKhan A(2020)QoE-Aware Self-Tuning of Service Priority Factor for Resource Allocation Optimization in LTE NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2019.295256869:1(887-900)Online publication date: Jan-2020
https://doi.org/10.1109/TVT.2019.2952568

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Providing an User Centric Always Best Connection

User-Centric Quality Control System for Smart Home Energy Management

Challenges of future multimedia QoE monitoring for internet service providers

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