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<p>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.</p>

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

  • 期刊论文

  • 发表日期：

    2025年2月13日

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  • Inam Ullah,
  • Alexis A. Dowhuszko,
  • Hesham El-Sayed,
  • Sumbal Malik,
  • Manzoor Ahmed Khan

摘要

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.