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<p>This article presents a dual-band to wideband Frequency Agile (FA) rectangular dielectric resonator (DR) based hybrid MIMO antenna for 5G New Radio (NR) application with connected ground. The DR is made of Al<sub>2</sub>O<sub>3</sub> (ε<sub>r</sub> = 9.8) ceramic material. The FA is achieved through the PIN Diode switches. When the PIN Diode is in an “ON” state, it provides dual bands due to the excitation of <i>TE</i><sub><i>111</i></sub> mode. When the PIN Diode is in an “OFF” state, it provides wideband characteristics due to the excitation of <i>TE</i><sub><i>111</i></sub> and <i>TE</i><sub><i>211</i></sub> modes in the rectangular DR. The isolation and gain are achieved by 20 dB and 4.3 dBi, respectively. The maximum tuning range is 49.36. The MIMO performance characteristics are achieved within the allowable range. A good agreement is achieved between the simulated and measured results. The suggested MIMO antenna is optimized through the various ML algorithms in which Random Forest (RF) ML algorithms achieved the highest accuracy more than 99% compared to other ML algorithms for S-parameters prediction. Hence, it is suitable for 5G NR applications.</p>

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Machine learning enabled dual to wideband frequency agile \(\:{\varvec{A}\varvec{l}}_{2}{\varvec{O}}_{3}\:\)ceramic-based dielectric MIMO antenna for 5G new radio applications

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  • 发表日期：

    2025年3月20日

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  • Jayant Kumar Rai,
  • Ajay Kumar Dwivedi,
  • Vivek Singh,
  • Pinku Ranjan,
  • Anand Sharma,
  • Ashish Pandey

摘要

This article presents a dual-band to wideband Frequency Agile (FA) rectangular dielectric resonator (DR) based hybrid MIMO antenna for 5G New Radio (NR) application with connected ground. The DR is made of Al2O3 (εr = 9.8) ceramic material. The FA is achieved through the PIN Diode switches. When the PIN Diode is in an “ON” state, it provides dual bands due to the excitation of TE111 mode. When the PIN Diode is in an “OFF” state, it provides wideband characteristics due to the excitation of TE111 and TE211 modes in the rectangular DR. The isolation and gain are achieved by 20 dB and 4.3 dBi, respectively. The maximum tuning range is 49.36. The MIMO performance characteristics are achieved within the allowable range. A good agreement is achieved between the simulated and measured results. The suggested MIMO antenna is optimized through the various ML algorithms in which Random Forest (RF) ML algorithms achieved the highest accuracy more than 99% compared to other ML algorithms for S-parameters prediction. Hence, it is suitable for 5G NR applications.