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
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