Quality of service based resource allocation in D2D enabled 5G-CNs with network slicing

Nadeem, Lubna, Amin, Yasar, Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126, Azam, Muhammad and Kok Keong, Chai (2022) Quality of service based resource allocation in D2D enabled 5G-CNs with network slicing. Physical Communication, 52. ISSN 1874-4907

[thumbnail of QoS_based_Resource_allocation_2022.pdf]
QoS_based_Resource_allocation_2022.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview


With the rapid new advancements in technology, there is an enormous increase in devices and their versatile need for services. Fifth-generation (5G) cellular networks (5G-CNs) with network slicing (NS) have emerged as a necessity for future mobile communication. The available network is partitioned logically into multiple virtual networks to provide an enormous range of users’ specific services. Efficient resource allocation methods are critical to delivering the customers with their required Quality of Service (QoS) priorities. In this work, we have investigated a QoS based resource allocation (RA) scheme considering two types of 5G slices with different service requirements; (1) enhanced Mobile Broadband (eMBB) slice that requires a very high data rate and (2) massive Machine Type Communication (mMTC) slice that requires extremely low latency. We investigated the device-to-device (D2D) enabled 5G-CN model with NS to assign resources to users based on their QoS needs while considering the cellular and D2D user’s data rate requirements.We have proposed a Distributed Algorithm (DA) with edge computation to solve the optimization problem, which is novel as edge routers will solve the problem locally using the augmented Lagrange method. They then send this information to the central server to find the global optimum solution utilizing a consensus algorithm. Simulation analysis proves that this scheme is efficient as it assigns resources based on their QoS requirements. This scheme is excellent in reducing the central load and computational time.

Item Type: Article
Identifier: 10.1016/j.phycom.2022.101703
Keywords: Device-to-device, eMBB, mMTC, Network slicing, QoS requirements, 5G cellular networks, Distributed optimization
Subjects: Computing > Systems > Computer networking
Computing > Systems > Distributed computing
Related URLs:
Depositing User: Jonathan Loo
Date Deposited: 24 Mar 2022 17:38
Last Modified: 06 Feb 2024 16:09
URI: https://repository.uwl.ac.uk/id/eprint/8879


Downloads per month over past year

Actions (login required)

View Item View Item