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QoE-Driven Optimization in 5G O-RAN Enabled HetNets for Enhanced Video Service Quality

Agarwal, Bharat ORCID: 0000-0002-4040-8145, Togou, Mohammed Amine ORCID: 0000-0002-8374-910X, Ruffini, Marco ORCID: 0000-0001-6220-0065 and Muntean, Gabriel-Miro ORCID: 0000-0002-9332-4770 (2022) QoE-Driven Optimization in 5G O-RAN Enabled HetNets for Enhanced Video Service Quality. IEEE Communication Magazine, 61 (1). pp. 56-62. ISSN 0163-6804

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Abstract

Many innovative applications are projected to be supported by 5G networks across three verticals: enhanced mobile broadband, ultra-reliable low latency communication, and massive machine-type communication. Given the constraints of the current Radio Access Networks (RANs), accommodating all these applications, considering their Quality of Service and Quality of Experience (QoE) requirements, is not practical. OpenRAN is a new architecture touted as the most viable nextgeneration RAN solution. It promotes a software-defined component, labelled RAN Intelligent Controller (RIC), that governs and supplies intelligence to optimize radio resource allocation, implement handovers, manage interference, and balance load between cells. RIC has two parts: Non-Real-Time (RT) and Near-RT. This article introduces a novel QoE Enhancement Function (QoE2F) xApp to enhance the functionality of Near-RT RIC through providing efficient resource provisioning to users requesting high-resolution video services. It deploys an innovative Adaptive Genetic Algorithm to perform optimal user association along with resource and power allocation in HetNets. Simulation results demonstrate superior QoE2F xApp performance in terms of VMAF and MoS for two different resolution videos and diverse numbers of user

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Quality of experience; 5G mobile communication; Quality of service; Resource management; Cloud computing; Software; Computer architecture
Subjects:Engineering > Electronic engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Publisher:IEEE
Official URL:https://doi.org/10.1109/MCOM.003.2200229
Copyright Information:© 2022 IEEE
Funders:e Science Foundation Ireland (SFI) via grants 18/CRT/6224 (SFI Centre for Research Training in Digitally-Enhanced Reality D-REAL), 16/SP/3804 (Enable) and 12/RC/2289 P2 (Insight).
ID Code:28019
Deposited On:17 Jan 2023 15:13 by Bharat Agarwal . Last Modified 02 Mar 2023 15:58

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