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5G NOMA user grouping using discrete particle swarm optimization approach

Ab. Ghani, Hadhrami and Roslim, Farah Najwa and Remli, Muhammad Akmal and Al-Shari, Eissa Mohammed Mohsen and Md. Saleh, Nurul Izrin and Azizan, Azizul (2021) 5G NOMA user grouping using discrete particle swarm optimization approach. Telkomnika (Telecommunication Computing Electronics and Control), 19 (6). pp. 1803-1810. ISSN 1693-6930


Official URL: http://dx.doi.org/10.12928/TELKOMNIKA.v19i6.18580


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.

Item Type:Article
Uncontrolled Keywords:Particle swarm optimization, User grouping
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:96370
Deposited By: Widya Wahid
Deposited On:18 Jul 2022 18:13
Last Modified:18 Jul 2022 18:13

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