TELKOMNIKA Telecommunication, Computing, Electronics and Control
5G NOMA user grouping using discrete particle swarm optimization approach
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
5G NOMA user grouping using discrete particle swarm optimization approach
5G NOMA user grouping using discrete particle swarm optimization approach
Subject
Discrete
Multiple access
Non-orthogonal
Particle swarm optimization
User grouping
Multiple access
Non-orthogonal
Particle swarm optimization
User grouping
Description
Non-orthogonal multiple access (NOMA) technology meets the increasing
demand for high-seed cellular networks such as 5G by offering more users to
be accommodated at once in accessing the cellular and wireless network.
Moreover, the current demand of cellular networks for enhanced user fairness,
greater spectrum efficiency and improved sum capacity further increase the
need for NOMA improvement. However, the incurred interference in
implementing NOMA user grouping constitutes one of the major barriers in
achieving high throughput in NOMA systems. Therefore, this paper presents
a computationally lower user grouping approach based on discrete particle
swarm intelligence in finding the best user-pairing for 5G NOMA networks
and beyond. A discrete particle swarm optimization (DPSO) algorithm is
designed and proposed as a promising scheme in performing the user-grouping
mechanism. The performance of this proposed approach is measured and
demonstrated to have comparable result against the existing state-of-the art
approach.
demand for high-seed cellular networks such as 5G by offering more users to
be accommodated at once in accessing the cellular and wireless network.
Moreover, the current demand of cellular networks for enhanced user fairness,
greater spectrum efficiency and improved sum capacity further increase the
need for NOMA improvement. However, the incurred interference in
implementing NOMA user grouping constitutes one of the major barriers in
achieving high throughput in NOMA systems. Therefore, this paper presents
a computationally lower user grouping approach based on discrete particle
swarm intelligence in finding the best user-pairing for 5G NOMA networks
and beyond. A discrete particle swarm optimization (DPSO) algorithm is
designed and proposed as a promising scheme in performing the user-grouping
mechanism. The performance of this proposed approach is measured and
demonstrated to have comparable result against the existing state-of-the art
approach.
Creator
Hadhrami Ab. Ghani, Farah Najwa Roslim, Muhammad Akmal Remli,
Eissa Mohammed Mohsen Al-Shari, Nurul Izrin Md Saleh, Azizul Azizan
Eissa Mohammed Mohsen Al-Shari, Nurul Izrin Md Saleh, Azizul Azizan
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
May 27, 2021
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Hadhrami Ab. Ghani, Farah Najwa Roslim, Muhammad Akmal Remli,
Eissa Mohammed Mohsen Al-Shari, Nurul Izrin Md Saleh, Azizul Azizan, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
5G NOMA user grouping using discrete particle swarm optimization approach,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/4300.
5G NOMA user grouping using discrete particle swarm optimization approach,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/4300.