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Multi-Objective Hybrid Optimization Algorithm for Design a Printed MIMO Antenna with n78 - 5G NR Frequency Band Applications
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  • Vahid Hosseini,
  • Yousef Farhang,
  • Kambiz Majidzadeh,
  • Changiz Ghobadi
Vahid Hosseini
Islamic Azad University Urmia Branch
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Yousef Farhang
Islamic Azad University Khoy

Corresponding Author:yfarhang@yahoo.com

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Kambiz Majidzadeh
Islamic Azad University Urmia Branch
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Changiz Ghobadi
Urmia University
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This study introduces a novel multi-objective optimization algorithm integrating Customized Mutated PSO (CM-PSO) and an innovative modified Genetic Algorithm (GA) using an unexplored merged chaotic map. The hybrid algorithm con- verges to desired results faster than CM-PSO and modified GA without trapping in local minima. Validation is conducted by designing a single-element and simple-structure dipole antenna so that its optimized S 11 is better than -30 dB at the resonance frequency and covers the 3.3 to 3.8 GHz fre- quency band with S 11 < − 1 0 dB. Certainly, the -30 dB and covering frequency band criteria can be modified in the pro- posed algorithm. In the algorithm, the isolation between el- ements of a quad-Multiple-Input/Multiple-Output antenna, constructed using optimized dipole antennas, is set to be less than -20 dB (changeable criteria) so that the smallest size can be achieved. CST carries out electromagnetic and high- frequency simulations, and the novel developed optimization algorithm in MATLAB determines what and how much pa- rameter values need to be changed by CM-PSO or an innova- tive modified GA in order to enhance the antenna’s S 11 result and its Impedance Bandwidth (IBW). The input parameters of the algorithm are the dimensions of the proposed antenna’s elements, which significantly influence its performance.
13 Feb 2023Submitted to International Journal of Circuit Theory and Applications
16 Feb 2023Assigned to Editor
16 Feb 2023Submission Checks Completed
16 Feb 2023Review(s) Completed, Editorial Evaluation Pending
17 Feb 2023Reviewer(s) Assigned