Generalized Firefly Algorithm for optimal transmit beamforming
Article
Le, T. and Yang, X. 2023. Generalized Firefly Algorithm for optimal transmit beamforming. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/TWC.2023.3328713
Type | Article |
---|---|
Title | Generalized Firefly Algorithm for optimal transmit beamforming |
Authors | Le, T. and Yang, X. |
Abstract | This paper proposes a generalized Firefly Algorithm (FA) to solve an optimization framework having objective function and constraints as multivariate functions of independent optimization variables. Four representative examples of how the proposed generalized FA can be adopted to solve downlink beamforming problems are shown for a classic transmit beamforming, cognitive beamforming, reconfigurable-intelligent-surfaces-aided (RIS-aided) transmit beamforming, and RIS-aided wireless power transfer (WPT). Complexity analyzes indicate that in large-antenna regimes the proposed FA approaches require less computational complexity than their corresponding interior point methods (IPMs) do, yet demand a higher complexity than the iterative and the successive convex approximation (SCA) approaches do. Simulation results reveal that the proposed FA attains the same global optimal solution as that of the IPM for an optimization problem in cognitive beamforming. On the other hand, the proposed FA approaches outperform the iterative, IPM and SCA in terms of obtaining better solution for optimization problems, respectively, for a classic transmit beamforming, RIS-aided transmit beamforming and RIS-aided WPT. |
Keywords | Firefly algorithm; nature-inspired optimization; transmit beamforming; reconfigurable intelligent surfaces |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Publisher | IEEE |
Journal | IEEE Transactions on Wireless Communications |
ISSN | 1536-1276 |
Electronic | 1558-2248 |
Publication dates | |
Online | 07 Nov 2023 |
Publication process dates | |
Accepted | 19 Oct 2023 |
Deposited | 31 Oct 2023 |
Output status | In press |
Accepted author manuscript | |
Copyright Statement | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TWC.2023.3328713 |
Language | English |
https://repository.mdx.ac.uk/item/w463w
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