Title: Microstrip MIMO antenna design with self-improved optimisation strategy

Authors: Shaktimayee Mishra; Asit Kumar Panda; Arun Agarwal

Addresses: Biju Patnaik University of Technology (BPUT), Rourkela, Odisha, India ' Department of Electronics and Communication Engineering, National Institute of Science and Technology (NIST), Berhampur, Odisha, India ' Department of Electronics and Communication Engineering, ITER, Siksha 'O' Anusandhan Deemed to be University Jagamara, Bhubaneswar, Odisha, India

Abstract: To increase the channel's capacity and communication dependability, Multiple Input Multiple Output (MIMO) antennas are widely used on both the receiver and transmitter sides of interaction networks. One strategy is to place radiating parts far away, which will result in enormous antennas. These systems' channel capacity is influenced by the transmission bandwidth, S/N ratio, and the characteristics of the antennas being utilised, among other factors. In this work, MIMO microstrip antenna design with optimisation tactic is modelled. Here, Cartesian Distance Estimated Mayfly Optimisation (CDE-MFO) is implemented to resolve the optimisation issues by considering the constraints like area (length, width), gain, beam width, antenna efficiency, envelope correlation coefficient (ECC), total active reflection coefficient (TARC) and directivity. Our findings demonstrate that channel capacity and performance for a wireless MIMO channel can be enhanced by increasing the number of sending and receiving antennas.

Keywords: MIMO; microstrip antenna; directivity; antenna efficiency; CDE-MFO model.

DOI: 10.1504/IJWMC.2024.141453

International Journal of Wireless and Mobile Computing, 2024 Vol.27 No.3, pp.203 - 216

Received: 28 Dec 2022
Accepted: 12 Sep 2023

Published online: 13 Sep 2024 *

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