Firefly algorithm for movable antenna arrays
Article
Kha, H., Le, T., Thuc, K., Luyen, T., Yang, X. and Ng, D. 2024. Firefly algorithm for movable antenna arrays. IEEE Wireless Communications Letters. https://doi.org/10.1109/LWC.2024.3456899
Type | Article |
---|---|
Title | Firefly algorithm for movable antenna arrays |
Authors | Kha, H., Le, T., Thuc, K., Luyen, T., Yang, X. and Ng, D. |
Abstract | This letter addresses a multivariate optimization problem for linear movable antenna arrays (MAAs). Particularly, the position and beamforming vectors of the under-investigated MAA are optimized simultaneously to maximize the minimum beamforming gain across several intended directions, while ensuring interference levels at various unintended directions remain below specified thresholds. To this end, a swarm-intelligence-based firefly algorithm (FA) is introduced to acquire an effective solution to the optimization problem. Simulation results reveal the superior performance of the proposed FA approach compared to the state-of-the-art approach employing alternating optimization and successive convex approximation. This is attributed to the FA's effectiveness in handling non-convex multivariate and multimodal optimization problems without resorting approximations. |
Keywords | Firefly algorithm; nature-inspired optimization; movable antenna arrays |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Sustainability |
Research Group | Department of Design Engineering & Mathematics |
Publisher | IEEE |
Journal | IEEE Wireless Communications Letters |
ISSN | |
Electronic | 2162-2345 |
Publication dates | |
Online | 10 Sep 2024 |
Publication process dates | |
Accepted | 05 Sep 2024 |
Deposited | 11 Sep 2024 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | This paper was accepted for publication in IEEE Wireless Communications Letters on September 05, 2024. ©2024 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/LWC.2024.3456899 |
Language | English |
https://repository.mdx.ac.uk/item/199669
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