Joint user grouping and power control using whale optimization algorithm for NOMA uplink systems

ur Rehman, B, Inayatullah Babar, M, Waheed Ahmad, A, Amir, M, Shahjehan, W, Sadiq, AS ORCID: https://orcid.org/0000-0002-5746-0257, Mirjalili, S and Abdollahi Dehkordi, A, 2022. Joint user grouping and power control using whale optimization algorithm for NOMA uplink systems. PeerJ Computer Science, 8: e882.

Full text not available from this repository.

Abstract

The non-orthogonal multiple access (NOMA) scheme has proven to be a potential candidate to enhance spectral potency and massive connectivity for 5G wireless networks. To achieve effective system performance, user grouping, power control, and decoding order are considered to be fundamental factors. In this regard, a joint combinatorial problem consisting of user grouping and power control is considered, to obtain high spectral-efficiency for NOMA uplink system with lower computational complexity. To solve the joint problem of power control and user grouping, for Uplink NOMA, we have used a newly developed meta-heuristicnature-inspired optimization algorithm i.e., whale optimization algorithm (WOA), for the first time. Furthermore, for comparison, a recently initiated grey wolf optimizer (GWO) and the well-known particle swarm optimization (PSO) algorithms were applied for the same joint issue. To attain optimal and sub-optimal solutions, a NOMA-based model was used to evaluate the potential of the proposed algorithm. Numerical results validate that proposed WOA outperforms GWO, PSO and existing literature reported for NOMA uplink systems in-terms of spectral performance. In addition, WOA attains improved results in terms of joint user grouping and power control with lower system-complexity when compared to GWO and PSO algorithms. The proposed work is a novel enhancement for 5G uplink applications of NOMA systems.

Item Type:	Journal article
Publication Title:	PeerJ Computer Science
Creators:	ur Rehman, B., Inayatullah Babar, M., Waheed Ahmad, A., Amir, M., Shahjehan, W., Sadiq, A.S., Mirjalili, S. and Abdollahi Dehkordi, A.
Publisher:	PeerJ
Date:	2022
Volume:	8
Identifiers:	Number Type 10.7717/peerj-cs.882 DOI 1597153 Other
Rights:	© PeerJ, Inc. 2022. Public user content licensed CC BY 4.0.
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	20 Sep 2022 13:11
Last Modified:	20 Sep 2022 13:11
URI:	https://irep.ntu.ac.uk/id/eprint/47052

Actions (login required)

Edit View

Statistics

Views

Downloads