Huang, Pei-Qiu, Zhou, Yu, Wang, Kezhi and Wang, Bing-Chuan (2022) Placement Optimization for Multi-IRS-Aided Wireless Communications: An Adaptive Differential Evolution Algorithm. IEEE Wireless Communications Letters, 11 (5). pp. 942-946. ISSN 2162-2337
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Placement_Optimization_for_Multi-IRS-Aided_Wireless_Communications_An_Adaptive_Differential_Evolution_Algorithm.pdf - Accepted Version Download (1MB) | Preview |
Abstract
Using intelligent reflecting surfaces (IRSs) is a promising approach to enhance the performance of wireless communication systems. In this paper, the placement optimization of multi-IRSs is investigated in multi-IRS-aided wireless communication systems, with the aim of minimizing the number of IRSs subject to the average achievable data rate. Then, an adaptive differential evolution algorithm is developed to jointly optimize the number, locations, and phase shift coefficients of IRSs, in which a novel strategy is devised to adaptively select the mutation operator for each individual. Compared with other algorithms, the proposed algorithm performs well in reducing the number of IRSs while satisfying the average achievable data rate.
| Item Type: | Article |
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| Additional Information: | Funding information: Research funded by National Natural Science Foundation of China (62106287). |
| Uncontrolled Keywords: | Intelligent reflecting surface, placement optimization, differential evolution, mutation operator |
| Subjects: | G600 Software Engineering H600 Electronic and Electrical Engineering |
| Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
| Depositing User: | John Coen |
| Date Deposited: | 21 Mar 2022 10:45 |
| Last Modified: | 27 May 2022 11:00 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/48703 |
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