Quality of experience management in mobile cellular networks: key issues and design challenges
Abstract
Telecom operators have recently faced the need for a radical shift from technical quality requirements to customer experience guarantees. This trend has emerged due to the constantly increasing amount of mobile devices and applications and the explosion of overall traffic demand, forming a new era: “the rise of the consumer”. New terms have been coined in order to quantify, manage, and improve the experienced user quality, with QoE being the most dominant one. However, QoE has always been an afterthought for network providers, and thus numerous research questions need to be answered prior to a shift from conventional network-centric paradigms to more user-centric approaches. To this end, the scope of this article is to provide insights on the issue of network-level QoE management, identifying the open issues and prerequisites toward acquiring QoE awareness and enabling QoE support in mobile cellular networks. A conceptual framework for achieving end-to-end QoE provisioning is proposed and described in detail in terms of its design, its constituents and their interactions, as well as the key implementation challenges. An evaluation study serves as a proof of concept for this framework, and demonstrates the potential benefits of implementing such a quality management scheme on top of current or future generations of mobile cellular networks.
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If the passive monitoring probe at the user terminal operates at a higher frequency, the prediction of QoE may be more accurate but will have a negative impact on the user end device regarding utilization of device resources (e.g., CPU, RAM and battery power).
“The primary reason is that if the passive monitoring probe at the user terminal operates at a higher frequency, the prediction of the QoE may be more accurate [82] but will have a negative impact on the user end device regarding utilization of the device resources (e.g., CPU, RAM and battery power) [240].”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [82]
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Seal, A., Bhattacharya, S., & Misra, I. S. (2020) · IEEE Calcutta Conference (CALCON) · doi:10.1109/calcon49167.2020.9106558 · Cited by 1 · see citing works
Function approaches of QOE-driven detection in automated wireless networks
Rajesh, S., & Sangeetha, M. (2022) · AIP conference proceedings · doi:10.1063/5.0112027 · Cited by 1 · see citing works
E2E-QoE based 6G Sustainability: Challenges and Designing Aspects
Ji, L., Qian, J., & Wang, H. (2023) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2023-fall60731.2023.10333641 · Cited by 1 · see citing works
Influence Factors on the Quality of User Experience in OS Reliability
Yabe, D. G., dos Santos, C. A. R., Miranda, L., & Matias, R. (2018) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1145/3230833.3230862 · Cited by 1 · see citing works
Enabling Technology in Three Primary 5G Services
Bojkovic, Z. S., Milovanovic, D. A., & Pantović, V. (2019) · International Scientific Conference Sinteza · doi:10.15308/sinteza-2019-301-306 · Cited by 1 · see citing works
The CASPER Project Approach Towards User-Centric Mobile Networks
Liotou, E., Tsolkas, D., Tennina, S., Pomante, L., Kalpaktsoglou, G., & Passas, N. I. (2019) · Euromicro Conference on Digital System Design (DSD) · doi:10.1109/dsd.2019.00065 · Cited by 1 · see citing works
Self-citationPerformance analysis of service users’ perception of mobile network quality in the learning settings
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Need-Based Performance Evaluation of Mobile Cellular Network In Institution of Learning
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Quality of Experience Management of Multimedia Streaming Services
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Emulation of HTTP Adaptive Video Streaming over SDN
Liotou, E., Chatzieleftheriou, K., Christodoulou, G., Passas, N. I., & Merakos, L. F. (2021) · IEEE International Mediterranean Conference on Communications and Networking (MeditCom) · doi:10.1109/meditcom49071.2021.9647445
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Novel ensemble approaches of wireless networks in QoE-driven eccentric detection
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Deductive learning in wireless mobile networks using QoE-driven data analysis
Prakash, E., & Sangeetha, M. (2022) · AIP conference proceedings · doi:10.1063/5.0111630
QoE-Oriented wireless resources scheduling for a multipath video streaming: Survey
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E2E-QoE Oriented Framework: An Alternative Solution for Collaborative Optimization
Ji, L., Qian, J., & Wang, H. (2025) · IEEE Communications Magazine · doi:10.1109/mcom.005.2400299
A QoE based routing schema for multimedia traffics using SDN
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- Authors
- Liotou, E., Tsolkas, D., Passas, N., & Merakos, L.
- Affiliations
- National and Kapodistrian University of Athens (GR)
- Venue
- IEEE Communications Magazine
- Published
- 2015-07
- Volume
- 53
- Issue
- 7
- Pages
- 145-153
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W1920147670
- Cited by
- 99
- References
- 14
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 10 · 2021: 15 · 2020: 11 · 2019: 20 · 2018: 19 · 2017: 9 · 2016: 7 · 2015: 1
- FWCI
- 10.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Communications Magazine (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 › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- quality of experience, QoE management, cellular networks, user-centric networks, network design challenges
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