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QoE-Driven Resource Management Framework for Next-Generation Mobile Networks

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Abstract

Due to the massive growth in global data traffic, next-generation wireless communication technologies must meet the demands of emerging applications and services by providing enhanced Quality-of-Service (QoS) levels to end-users, by enabling a ubiquitous cellular coverage, characterized by ultra-high reliability and minimal latency. Notably, most cellular network traffic comes from densely populated urban areas, where dense infrastructure and high user demands lead to interference-limited conditions and competition for radio resources, resulting in degraded QoS levels for mobile User Equipment (UE). This work proposed a Quality-of-Experience (QoE)-driven framework for defining UE types according to defined QoS requirements, with application-specific diverse value-oriented services. The proposed framework primarily focuses on assessing cellular network performance with a user-centric approach via subjective metrics like end-user satisfaction, rather than solely on traditional communication-centric metrics. The proposed scheduling framework integrates a theoretical approach to guarantee QoS for various mobile UE types by dynamically allocating the necessary bandwidth resources. This also ensures guaranteed optimal performance for UEs, along with the minimal impact on the operational efficiency of UEs without specific service requirements.

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Funding

This research is partially supported by the ASPIRE Award for Research Excellence (grant number: AARE20-368).

Author information

Authors and Affiliations

  1. College of Information Technology, UAE University (UAEU), Abu Dhabi, United Arab Emirates

    Inam Ullah, Hesham El-Sayed & Sumbal Malik

  2. Emirates Center for Mobility Research (ECMR), UAEU, Abu Dhabi, United Arab Emirates

    Inam Ullah & Hesham El-Sayed

  3. Department of Information and Communication Engineering, Aalto University, Espoo, Finland

    Alexis A. Dowhuszko

  4. Nokia Bell Labs, Murray Hill, NJ, USA

    Manzoor Ahmed Khan

Author notes

  1. Co-author Manzoor Ahmed Khan collaborated on this work while at UAE University.

    • Manzoor Ahmed Khan
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  1. Inam Ullah
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Contributions

All authors were involved in Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing in the original draft and review/editing of the paper draft.

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Correspondence to Hesham El-Sayed.

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Ullah, I., Dowhuszko, A.A., El-Sayed, H. et al. QoE-Driven Resource Management Framework for Next-Generation Mobile Networks. SN COMPUT. SCI. 6, 158 (2025). https://doi.org/10.1007/s42979-025-03711-0

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