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Design and Optimization of MIMO Dielectric Resonator Antenna Using Machine Learning for Sub-6 GHz based on 5G IoT Applications

  • Research Article-Electrical Engineering
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Abstract

This work proposes a novel dielectric resonator antenna design for 5G-based IoT applications that operates in the sub-6 GHz frequency range. The DR antenna is built on a 1.6-mm-thick FR-4 substrate with dimensions of 30*50 mm2. The proposed dielectric resonator antenna is made of alumina and is excited using a microstrip feedline of 50 Ω. Because of the hybrid arrangement of cylindrical and rectangular dielectric resonator elements on the FR4 substrate, this proposed structure has improved the radiation mechanism. The antenna design process begins with creating the antenna in the Ansys HFSS EM simulator, which is then optimized using machine learning based on the antenna geometry’s target factors. A data set of 2625 sample data values is generated in HFSS and fed to various machine learning algorithms for further optimization based on data trends. Post-optimization, the antenna design is fabricated and tested. The proposed antenna offers a wide bandwidth of 1.1 GHz between 3.5 and 4.6 GHz and resonates at 3.9 GHz making it suitable for 5G sub-6 GHz IoT applications.

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Funding

This work was supported by SERB New Delhi (Grant No. SRG/2020/000043 dated 27/10/2020).

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Authors and Affiliations

  1. Atal Bihari Vajpayee-Indian Institute of Information Technology and Management, Gwalior, India

    Pinku Ranjan & Athulya Krishnan

  2. Department of Electronics and Communication Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India

    Ajay Kumar Dwivedi

  3. Department of Electronics and Communication Engineering, Indian Institute of Information Technology Allahabad, Prayagraj, Uttar Pradesh, India

    Suyash Kumar Singh

  4. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India

    Anand Sharma

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  1. Pinku Ranjan
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  2. Athulya Krishnan
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  3. Ajay Kumar Dwivedi
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  4. Suyash Kumar Singh
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  5. Anand Sharma
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Correspondence to Anand Sharma.

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Ranjan, P., Krishnan, A., Dwivedi, A.K. et al. Design and Optimization of MIMO Dielectric Resonator Antenna Using Machine Learning for Sub-6 GHz based on 5G IoT Applications. Arab J Sci Eng 48, 14671–14679 (2023). https://doi.org/10.1007/s13369-023-07830-9

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