Frequency and bandwidth reconfigurable MIMO dielectric resonator antenna and its optimization using Taguchi neural network

Abstract In this article, a 1 × 2 bandwidth (BW) and frequency-reconfigurable dielectric resonator-based multiple input multiple output (MIMO) antenna array is presented for 5G sub-6 GHz (3.3–6.0 GHz)/Wi-Fi 6E (5.925–6.425 GHz)/Wi-Fi 5G (5.15–5.85 GHz) applications. Additional dual-ring-open loop resonator structures with varied dimensions are introduced within antenna’s feeding network to achieve BW and frequency reconfigurability. RF PIN and varactor diodes (VDs) are integrated with proposed structure to enable switching between various modes and continuous tuning of frequency and BW, respectively. Further, Taguchi neural network (TNN) has been incorporated to predict percentage bandwidth of proposed antenna, getting a maximum deviation of only 0.6% from actual value. The proposed structure operated from 4.98 to 6.5 GHz, achieving wide continuous frequency tuning of 20.36% in passband and 6.1% reconfiguration for notch band. It also demonstrates continuous BW tunability from 16.69% to 34.44% with measured BWs of 19.58%, 34.44%, and 16.69% at 0, 3, and 8 V reverse bias voltages of VDs, respectively. MIMO antenna array structure also shows enhanced gain performance with a peak gain of 11.03 dBi and an overall gain above 7 dBi in the whole operating band.

Authors

Institutions

Publication Details

Journal
International Journal of Microwave and Wireless Technologies
Published
2025-10-01
DOI
https://doi.org/10.1017/s1759078725102511
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Frequency and bandwidth reconfigurable MIMO dielectric resonator antenna and its optimization using Taguchi neural network

Rajeev Kumar Gupta, Smriti Agarwal, Suyash Kumar Singh, Yajush Rai et al.
International Journal of Microwave and Wireless Technologies
Antenna Design and Analysis
article

Frequency and bandwidth reconfigurable MIMO dielectric resonator antenna and its optimization using Taguchi neural network

Rajeev Kumar Gupta, Smriti Agarwal, Suyash Kumar Singh, Yajush Rai, Anand Sharma
article en

Abstract

Abstract In this article, a 1 × 2 bandwidth (BW) and frequency-reconfigurable dielectric resonator-based multiple input multiple output (MIMO) antenna array is presented for 5G sub-6 GHz (3.3–6.0 GHz)/Wi-Fi 6E (5.925–6.425 GHz)/Wi-Fi 5G (5.15–5.85 GHz) applications. Additional dual-ring-open loop resonator structures with varied dimensions are introduced within antenna’s feeding network to achieve BW and frequency reconfigurability. RF PIN and varactor diodes (VDs) are integrated with proposed structure to enable switching between various modes and continuous tuning of frequency and BW, respectively. Further, Taguchi neural network (TNN) has been incorporated to predict percentage bandwidth of proposed antenna, getting a maximum deviation of only 0.6% from actual value. The proposed structure operated from 4.98 to 6.5 GHz, achieving wide continuous frequency tuning of 20.36% in passband and 6.1% reconfiguration for notch band. It also demonstrates continuous BW tunability from 16.69% to 34.44% with measured BWs of 19.58%, 34.44%, and 16.69% at 0, 3, and 8 V reverse bias voltages of VDs, respectively. MIMO antenna array structure also shows enhanced gain performance with a peak gain of 11.03 dBi and an overall gain above 7 dBi in the whole operating band.

International Journal of Microwave and Wireless TechnologiesVol. 17(8)
Motilal Nehru National Institute of Technology (IN), Indian Institute of Information Technology Allahabad (IN)
Openalex Percentile: Top 55%
Antenna Design and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Frequency and bandwidth reconfigurable MIMO dielectric resonator antenna and its optimization using Taguchi neural network — Rajeev Kumar Gupta, Smriti Agarwal, et al. · International Journal of Microwave and Wireless Technologies (2025) | TGRS Research Map | TGRS