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Design and Analysis of Four-Port MIMO System Optimization Methodology with Machine Learning Approaches of Validated Antenna Parameters

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Abstract

A four-element MIMO array antenna for the generation of 5G cellphones to operate at lower sub-6 GHz systems and which is optimized using the current design approach. For acceptable performance related to the optimum design parameters EM simulations are performed instead of traditional optimizations method due to time-consuming process for antenna design. Depending on the nonlinear relationship and complexity for design characteristics an effective method of deep learning (DL) is to determining optimum physical parameters. For designing of the MIMO antenna array this technique proposes resource efficient and time using DL approach. To reduce design space and generation of an effective dataset the technique applied is feature reduction method. To predict the S-parameters developing a novel dual-channel deep neural network. The designed antenna is optimized and achieved the − 10 dB impedance bandwidth of 40% (2.8–4.2 GHz), ECC is 0.018, TARC value is − 22 dB, isolation is − 35 dB, mean effective gain ratio is approaches to unity and CCL is 0.32 bps/Hz.

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Data Availability

No datasets were generated or analysed during the current study.

Code Availability

No code was generated or used during the current study.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, BVRIT HYDERABAD College of Engineering for Women, Bachupally, Telangana, India

    K. Vasu Babu

  2. Department of Electronics and Communication Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, Andhra Pradesh, India

    Gorre Naga Jyothi Sree

Authors
  1. K. Vasu Babu
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  2. Gorre Naga Jyothi Sree
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Contributions

All authors contributed to the study conception and design. KVB design the concept simulated the results. NJS measured the antenna parameters, draw the graphs of comparison both simulated and measured ones. All authors reviewed the manuscript. All authors read and approved the final manuscript.

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Correspondence to K. Vasu Babu.

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Babu, K.V., Sree, G.N.J. Design and Analysis of Four-Port MIMO System Optimization Methodology with Machine Learning Approaches of Validated Antenna Parameters. Wireless Pers Commun 136, 213–232 (2024). https://doi.org/10.1007/s11277-024-11254-5

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