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A. A. Barakabitze, M. Liyanage and A. Hines, "QoESoft: QoE Management Architecture for Softwarized 5G Networks," 2020 IEEE International Conference on Communications Workshops (ICC Workshops), Dublin, Ireland, 2020, pp. 1-6, doi: 10.1109/ICCWorkshops49005.2020.9145229

QoESoft : QoE management architecture for softwarized 5G networks

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Author: Barakabitze, Alcardo Alex1; Liyanage, Madhusanka1; Hines, Andrew1
Organizations: 1School of Computer Science, University College Dublin, Ireland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-11-16


For 5G network softwarization, Software Defined Networking (SDN) and Network Function Virtualization (NFV) have emerged as key technologies to enable efficient network management. 5G network virtualization will allow multiple service providers to share a single physical infrastructure offering an abstraction between the user and physical resources. As we move towards softwarized 5G networks, scalability issues, network performance with respect to Quality of Service (QoS) and Quality of Experience (QoE) and QoE-aware resource management remain less studied topics. In this paper, we adopt the SDN control logic to perform an autonomic QoE-aware resource management approach in virtualized 5G networks. We propose QoESoft, a network softwarization strategy for multimedia streaming services that performs a dynamic link and switch resources management in softwarized 5G systems. With QoESoft, we aim to improve user QoE for multimedia services through efficient monitoring and adaptation of the average load of the substrate links and switches and resource costs of mapped virtual links in 5G networks. The performance of the proposed approach is analysed in testbed environments. Preliminary results indicate that, QoESoft achieves better performance than the compared baseline approach in terms of link and switch resources utilization by 78% and 70% respectively. A video reception quality ratio metric and visual inspection on the output video both confirmed significant improvements in video QoE.

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Series: IEEE/CIC International Conference on Communications in China - Workshops
ISSN: 2474-9133
ISSN-E: 2474-9141
ISSN-L: 2474-9133
ISBN: 978-1-7281-7440-2
ISBN Print: 978-1-7281-7441-9
Pages: 1 - 6
Article number: 9145229
DOI: 10.1109/ICCWorkshops49005.2020.9145229
Host publication: 2020 IEEE International Conference on Communications Workshops (ICC Workshops)
Conference: IEEE International Conference on Communications Workshops
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This publication has emanated from research supported by the Irish Research Council (IRC) Postdoctoral Fellowship Programme 2019 - 2021 under the project: Management of Multimedia Services and Orchestration of Resources in 5G Networks using SDN and NFV (5GMOONS) and in part by a research grant from Science Foundation Ireland (SFI) and cofunded under the European Regional Development Fund under Grant Number 13/RC/2077 and Grant Number 12/RC/2289 P2.
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