Title: Optimal microstrip MIMO antenna design: an optimisation-based approach

Authors: Shaktimayee Mishra; Asit Kumar Panda; Arun Agarwal

Addresses: Department of Electronics and Telecommunication Engineering, Biju Patnaik University of Technology (BPUT), Rourkela, Bhubaneswar Institute of Industrial Technology (BIIT), Khurda 751002, Bhubaneswar, Odisha, India ' Department of Electronics and Communication Engineering, National Institute of Science and Technology (NIST), Berhampur, 761008, Odish ' Department of Electronics and Communication Engineering, ITER, Siksha 'O' Anusandhan Deemed to be University Jagamara, PO: Khandagiri Bhubaneswar-751030, Odisha, India

Abstract: The multiple-input and multiple-output (MIMO) antenna is one of 5G's most intriguing characteristics. Data transfer rates can be improved thanks to MIMO technology, which also offers multi-method fading resistance. Across a wide range of uses, this technology has shown its capacity to increase transmission spectrum efficiency. For that reason, we have developed an optimal design technique for microstrip MIMO antenna, in this study, the antenna design parameters were chosen with the best consideration using modified shark smell optimisation (MSSO). Our proposed MSSO is a reliable and less vulnerable optimisation, which increases the antenna's gain and effectiveness by choosing the optimal design parameters. Further to enhance the accuracy of our optimal design technique, we have used Cauchy's mutation in our work. The measured and simulated results were compared with the traditional algorithms, which show that our suggested MSSO-based design technique provides better results in terms of antenna gain and so on.

Keywords: microstrip MIMO antenna; MSSO; modified shark smell optimisation; optimal parameter selection; Cauchy's mutation; mutual coupling; return loss; antenna efficiency.

DOI: 10.1504/IJAACS.2025.145984

International Journal of Autonomous and Adaptive Communications Systems, 2025 Vol.18 No.2, pp.117 - 138

Received: 09 May 2023
Accepted: 13 Nov 2023
Published online: 01 May 2025 *

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