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Design and Simulation of Multiband Microstrip Patch Antenna for Wireless Applications Using HFSS Cover

Design and Simulation of Multiband Microstrip Patch Antenna for Wireless Applications Using HFSS

Open Access
|Sep 2025

Figures & Tables

Fig. 1.

Microstrip patch antenna

Fig. 2.

Antenna Design and Methodology

Fig. 3.

Design Antenna

Fig. 4.

Neural Network-Assisted Antenna Geometry Prediction Workflow

Fig. 5.

Workflow of ANN-Assisted Antenna Design

Fig. 6.

Input Impedance vs Frequency

Fig. 7.

Smith Chart (impedance loci approaching chart center at resonances, confirming good matching)

Fig. 8.

Output Curves of S11, VSWR, and Gain

Fig. 9.

Radiation Patterns at 2.4 GHz and 3.6 GHz

Fig. 10.

Comparative Bar Graph of Return Loss, VSWR, and Gain for Proposed ANN+HFSS Method vs. Existing Works

Fig. 11.

Parametric study results of the proposed antenna: (a) Effect of slot length on S11,(b) Effect of slot width on S11, (c) Effect of substrate thickness on S11,(d) Effect of feed position on S11

Comparison of proposed antenna with existing works

ReferenceMethodologyOperating Bands (GHz)Bandwidth (MHz)Reported LimitationsProposed Work Advantages
Sharmila et al. 2019 [3]Slotted patch, HFSS2.4/5.280/100Limited bands, no AI integrationCovers 2.4 / 3.6 / 5.8 GHz, AI-assisted optimization
Djermane & Talbi, 2015 [5]Neural Network for design2.4570Single-band onlyANN + HFSS, multiband design
Wang et al. 2015 [20]Tri-band slot design2.4/3.5/5.560-120Narrow bandwidthWider bands, improved matching
Rahman et al., 2014 [2]Dual-band MPA2.4/5.8100/110Only 2 bands supportedStable 3-band operation
Proposed WorkANN–HFSS optimized slotted patch2.4/3.6/5.8100–150 each-Reduced design iterations, stable radiation, IoT/5G applications

Performance comparison table

ParameterProposed (ANN+HFSS)Iqbal et al. dual-bandSharmila et al. multiband
Bands (GHz)2.35–2.50, 3.55–3.75, 5.60–5.902.50–2.70, 5.75–5.858.20, 11.40, 14.90, …
Return loss (dB)–20, –18, –22–18 at 2.5, –18 at 5.8<–10 dB at all bands
VSWR1.2–1.4<2.0<2.0
Peak gain (dBi)7.0, 6.2, 8.0~5.0–6.02–6
Optimization methodANN-assisted HFSSManual CST tuningManual HFSS tuning
DOI: https://doi.org/10.2478/ama-2025-0058 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 505 - 513
Submitted on: May 29, 2025
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Accepted on: Sep 7, 2025
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Published on: Sep 30, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 B. Rajeshwar, Krishnanaik VANKDOTH, Anvesh THATIKONDA, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.