Quality of Experience Management in Mobile Networks: Techniques, Constraints, and Emerging Trends for Value-Added Services

Authors

  • Kinge Mbeke Theophane Osee Faculty of Engineering and Technology, Department of Electrical and Electronic Engineering, University of Buea, P.O. Box 63 Buea, Cameroon https://orcid.org/0009-0000-4857-2647
  • Valery Nkemeni Faculty of Engineering and Technology, Department of Electrical and Electronic Engineering, University of Buea, P.O. Box 63 Buea, Cameroon https://orcid.org/0000-0002-5471-4565
  • Michael Ekonde Sone College of Technology, Department of Electrical and Electronic Engineering, University of Buea, P.O. Box 63 Buea, Cameroon https://orcid.org/0000-0002-5173-0228

DOI:

https://doi.org/10.37256/cnc.3220256766

Keywords:

Quality of Experience (QoE), Quality of Experience Management, User satisfaction, Value-Added Service, Mobile Networks, Machine Learning, User-centric QoE

Abstract

The integration of Quality of Experience Management (QoEM) into mobile networks has significantly transformed the telecommunications industry by aligning service delivery more closely with user expectations. This paradigm shift is particularly crucial as user perception of service quality (i.e., perceived QoE) has become a key differentiator in competitive telecom markets, directly impacting overall user satisfaction and retention. This paper presents a comprehensive review of current QoEM techniques, with a particular emphasis on Machine Learning (ML) approaches for predicting user experience and ensuring high-quality service delivery. Additionally, the integration of Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) is highlighted as a key trend in the development of user centric management systems, enabling dynamic network adjustments based on real-time QoE feedback. However, despite these advancements, the transition from traditional Quality of Service (QoS) metrics to QoE-aware frameworks presents significant challenges. These include the complexity of balancing resource allocation across diverse services to maintain optimal user experiences, as well as technical constraints in real-time QoE monitoring. Furthermore, as demand for high-definition streaming and low-latency applications continues to grow, advanced traffic management solutions are becoming increasingly essential. This review also explores emerging trends in Value-Added Service(s) (VAS), particularly within the context of 5G and 6G networks. We conclude this paper by indicating that the effective advancement of QoEM in mobile networks requires interdisciplinary collaboration between academia and industry. Key areas of focus include network architecture, user behaviour analytics, and content delivery mechanisms. A multidisciplinary approach is essential for addressing the complexities of existing QoEM models and ensuring superior user experiences in next-generation networks.

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Published

2025-07-08

How to Cite

[1]
K. M. . Theophane Osee, V. Nkemeni, and M. Ekonde Sone, “Quality of Experience Management in Mobile Networks: Techniques, Constraints, and Emerging Trends for Value-Added Services”, Comput. Networks Commun. , vol. 3, no. 2, pp. 21–58, Jul. 2025.