TY - JOUR
T1 - QoE-Driven Resource Management Framework for Next-Generation Mobile Networks
AU - Ullah, Inam
AU - Dowhuszko, Alexis A.
AU - El-Sayed, Hesham
AU - Malik, Sumbal
AU - Khan, Manzoor Ahmed
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025/2/13
Y1 - 2025/2/13
N2 - 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.
AB - 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.
KW - Beyond-5G/6G technologies
KW - Quality-of-experience
KW - Quality-of-service
KW - Resource management
KW - Throughput
UR - http://www.scopus.com/inward/record.url?scp=85219711884&partnerID=8YFLogxK
U2 - 10.1007/s42979-025-03711-0
DO - 10.1007/s42979-025-03711-0
M3 - Article
AN - SCOPUS:85219711884
SN - 2662-995X
VL - 6
JO - SN Computer Science
JF - SN Computer Science
IS - 2
M1 - 158
ER -