Analysing the Characteristics of MIMO Antennas: Enhancing Isolation and Employing Soft Computing Techniques via a Systematic Review

Authors

  • Nagarjuna Tanikonda, Praveen Babu Choppala, Chilakala Sudhamani

Keywords:

Input Multiple Output, Mobile Communication, Metamaterials, Soft Computing Approaches, Diversity Measures, Isolation methods and Mutual coupling.

Abstract

MIMO systems play a crucial role in communication systems due to their reliance on antenna design for the air interface. As network evaluations continue, there have been advancements in network capacity and technology to meet user requirements. Recent literature focusing on the MIMO system has revealed that metamaterials and soft computing approaches offer improved performance for mobile communication. This review encompasses the literature on the MIMO system, employing various design models and covering standard journals from 2016 to 2023. All research studies discussed in this review utilized tools such as HFSS, CST, and MATLAB. Additionally, a concise examination is conducted on isolation enhancement and soft computing approaches. Furthermore, a comparative analysis is provided for diversity measures including isolation, gain, axial ratio bandwidth, ECC, and CCL. The challenges and future directions highlighted in this review serve as inspiration for antenna researchers to develop MIMO antennas tailored for mobile communication.

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Published

26.03.2024

How to Cite

Nagarjuna Tanikonda. (2024). Analysing the Characteristics of MIMO Antennas: Enhancing Isolation and Employing Soft Computing Techniques via a Systematic Review. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 2037–2051. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5773

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Research Article