Title: Optimisation design of wireless communication antennas based on proxy model and sparrow search

Authors: Zhenhua Han; Liang Li; Lina Shen

Addresses: School of Physics and Electronic Engineering, Xinjiang Normal University, Urumqi, 830054, China; Key Laboratory of Luminescent Minerals and Photo Functional Materials Research in Xinjiang, Xinjiang Normal University, Urumqi, 830054, China ' School of Physics and Electronic Engineering, Xinjiang Normal University, Urumqi, 830054, China ' School of Physics and Electronic Engineering, Xinjiang Normal University, Urumqi, 830054, China

Abstract: Antennas are vital for wireless communication systems, but existing optimisation methods face challenges like lengthy training and numerous variables. This study introduces a new approach: using backpropagation neural networks to create a proxy model and enhancing it with a sparrow search algorithm for parameter adjustment. Results show the model's minimum mean square error is 7.51, minimum average percentage absolute error is 10.97, with a maximum coefficient of determination of 0.88, and prediction errors within the (-1, 1) range. Optimal antenna efficiency is achieved at 7.2 metres width and 10.8 metres length. The model achieves a minimum mapping parameter of -32 decibels and maximum gain of 28 with 250 iterations. This approach offers clear advantages and feasibility in antenna design optimisation, promising significant potential in wireless communication.

Keywords: proxy model; sparrow search; wireless communication; antenna; parameter.

DOI: 10.1504/IJISTA.2024.143259

International Journal of Intelligent Systems Technologies and Applications, 2024 Vol.22 No.4, pp.427 - 444

Received: 19 Apr 2024
Accepted: 26 Sep 2024
Published online: 11 Dec 2024 *

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