Startseite Technik Dual-resonance dielectric resonator-based MIMO antenna for Sub-6 GHz 5G and IoT applications
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Dual-resonance dielectric resonator-based MIMO antenna for Sub-6 GHz 5G and IoT applications

  • Gouri Shankar Sharma , Anshul Gupta ORCID logo EMAIL logo , Ravi Kumar Gangwar und Amit Kr. Pandey
Veröffentlicht/Copyright: 18. März 2025
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Abstract

This communication introduces a Multiple Input Multiple Output (MIMO) antenna with dual resonance features, achieved through four dielectric resonators (DR). The design includes two larger (DR-1 and DR-2) and two smaller (DR-3 and DR-4) ceramic resonators (ɛ r = 9.8, tanδ = 0.002) positioned on a fan-shaped FR-4 substrate, fed with a circular ring-shaped aperture for generation of lower and upper-frequency bands respectively. The fan-shaped substrate, combined with an arc-shaped defective ground structure (DGS), is used to intensify the bandwidth of the lower band and improve the isolation between radiating DRs. The measured operating bands for larger-sized DRs are found to be 2.7 GHz–4.12 GHz (41.6 % fractional bandwidth (FBW)) and 2.7 GHz–4.2 GHz (43.47 % FBW), while for smaller-sized DRs are depicted to be 5.21 GHz–5.96 GHz (13.29 % FBW) and 5.21 GHz–6.12 GHz (15.93 % FBW) respectively. The measured isolations in the lower and upper bands at resonant frequencies 3.6 GHz and 5.5 GHz are determined to be better than −31.2 dB and −24.5 dB, respectively. The closeness between simulated and measured results makes the proposed antenna appropriate for Sub-6 GHz wireless applications like WLAN (5.25–5.95 GHz), WiMAX (3.3–3.8 GHz), 5G (n48, n77, n78 bands), and Wi-Fi (n46) enabled IoT.


Corresponding author: Anshul Gupta, Department of Electronics and Communication Engineering, National Institute of Technology, Raipur, Chhattisgarh, India, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interests: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2024-07-02
Accepted: 2025-02-19
Published Online: 2025-03-18
Published in Print: 2025-06-26

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