Nonlinear marine predator algorithm: a cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks

Sadiq, A.S. ORCID: 0000-0002-5746-0257, Dehkordi, A.A., Mirjalili, S. and Pham, Q.-V., 2022. Nonlinear marine predator algorithm: a cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks. Expert Systems with Applications, 203: 117395. ISSN 0957-4174

Full text not available from this repository.

Abstract

This paper is an influential attempt to identify and alleviate some of the issues with the recently proposed optimization technique called the Marine Predator Algorithm (MPA). With a visual investigation of its exploratory and exploitative behavior, it is observed that the transition of search from being global to local can be further improved. As an extremely cost-effective method, a set of nonlinear functions is used to change the search patterns of the MPA algorithm. The proposed algorithm, called Nonlinear Marin Predator Algorithm (NMPA), is tested on a set of benchmark functions. A comprehensive comparative study shows the superiority of the proposed method compared to the original MPA and even other recent meta-heuristics. The paper also considers solving a real-world case study around power allocation in non-orthogonal multiple access (NOMA) and visible light communications (VLC) for Beyond 5G (B5G) networks to showcase the applicability of the NMPA algorithm. NMPA algorithm also shows its superiority in solving a wide range of benchmark functions as well as obtaining fair power allocation for multiple users in NOMA-VLC-B5G systems compared with the state-of-the-art algorithms.1

Item Type: Journal article
Publication Title: Expert Systems with Applications
Creators: Sadiq, A.S., Dehkordi, A.A., Mirjalili, S. and Pham, Q.-V.
Publisher: Elsevier
Date: October 2022
Volume: 203
ISSN: 0957-4174
Identifiers:
NumberType
10.1016/j.eswa.2022.117395DOI
S0957417422007400Publisher Item Identifier
1623380Other
Rights: © 2022 the authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 29 Nov 2022 13:55
Last Modified: 29 Nov 2022 13:58
URI: https://irep.ntu.ac.uk/id/eprint/47540

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year