Firefly algorithm for beamforming design in RIS-aided communication systems
Conference paper
Le, T. and Yang, X. 2023. Firefly algorithm for beamforming design in RIS-aided communication systems. The 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). Florence, Italy 20 - 23 Jun 2023 IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10201127
Type | Conference paper |
---|---|
Title | Firefly algorithm for beamforming design in RIS-aided communication systems |
Authors | Le, T. and Yang, X. |
Abstract | This paper studies a non-convex power minimization problem for reconfigurable-intelligent-surfaces-aided communication systems whose constraints are multivariate functions of two independent optimization variables, i.e., active and passive beamforming vectors. A widely adopted alternative optimization (AO) approach approximates the originally non-convex problem by two convex sub-optimization problems where each sub-optimization problem deals with one variable considering the other variable as a constant. The solution for the original problem is obtained by iteratively solving these sub-optimization problems. Although the AO approach converts the original NP-hard optimization problem to two convex sub-problems, the solutions attained by this method may not be the global optimal solution due to the approximation process as well as the inherent non-convexity of the original problem. To overcome the issue, this paper adopts a nature-inspired optimization approach and introduces a novel Firefly algorithm (FA) to simultaneously solve for two independent optimization variables of the originally non- convex optimization problem. Computational complexity analyses are provided for the proposed FA and the AO approaches. Simulation results reveal that the proposed FA approach prevails its AO counterpart in obtaining a better solution for the under- studied optimization problem with the same order of computational complexity. |
Keywords | Firefly algorithm; nature inspired optimization; transmit beamforming; reconfigurable intelligent surfaces |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Conference | The 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) |
Proceedings Title | 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) |
Series | IEEE Vehicular Technology Conference Proceedings |
ISSN | |
Electronic | 2577-2465 |
1090-3038 | |
ISBN | |
Electronic | 9798350311143 |
Paperback | 9798350311150 |
Publisher | IEEE |
Publication dates | |
20 Jun 2023 | |
Online | 14 Aug 2023 |
Publication process dates | |
Deposited | 26 May 2023 |
Accepted | 02 May 2023 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
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/VTC2023-Spring57618.2023.10201127 |
Web of Science identifier | WOS:001054797202165 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/10199114/proceeding |
Language | English |
https://repository.mdx.ac.uk/item/8q637
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