Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications

Soumya Sundar Pattanayak; Shweta Singh; M. Shwetha; Ashim Biswas; Utsab Banerjee; Shaleen Bhatnagar

doi:10.1109/INCIP64058.2025.11019473

Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications

Soumya Sundar Pattanayak
, Shweta Singh
, M. Shwetha
, Ashim Biswas
, Utsab Banerjee
, Shaleen Bhatnagar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The article investigates a compact, low-profile rectangular patch antenna load with a complimentary ring resonator (CSRR) on the patch and a rectangular complimentary ring resonator on the ground for sub-6GHz 5G applications. The proposed design is able to achieve 365 MHz, 522 MHz, and 697 MHz at 3.1824, 6.3576, and 7.978 GHz respectively. The proposed antenna offers 78, 53, and 49% simulated radiation frequencies at 3.1824, 6.3576, and 7.978 GHz, respectively. A random forest modelling is developed based on Regression and classification predictive modelling to predict return loss for various dimensions of the antenna. The model predicts the data with 99.98% accuracy.

Original language	English
Title of host publication	Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025
Editors	Mahipal Bukya, Pramod Kumar, Sanyog Rawat, Mahesh Jangid
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	387-391
Number of pages	5
ISBN (Electronic)	9798331528140
DOIs	https://doi.org/10.1109/INCIP64058.2025.11019473
Publication status	Published - 2025
Event	2025 International Conference on Next Generation Communication and Information Processing, INCIP 2025 - Bangalore, India Duration: 23-01-2025 → 24-01-2025

Publication series

Name	Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025

Conference

Conference	2025 International Conference on Next Generation Communication and Information Processing, INCIP 2025
Country/Territory	India
City	Bangalore
Period	23-01-25 → 24-01-25

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Energy Engineering and Power Technology
Electronic, Optical and Magnetic Materials
Computer Networks and Communications
Computer Science Applications
Control and Systems Engineering

Access to Document

10.1109/INCIP64058.2025.11019473

Cite this

Pattanayak, S. S., Singh, S., Shwetha, M., Biswas, A., Banerjee, U., & Bhatnagar, S. (2025). Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications. In M. Bukya, P. Kumar, S. Rawat, & M. Jangid (Eds.), Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025 (pp. 387-391). (Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INCIP64058.2025.11019473

Pattanayak, Soumya Sundar ; Singh, Shweta ; Shwetha, M. et al. / Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications. Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025. editor / Mahipal Bukya ; Pramod Kumar ; Sanyog Rawat ; Mahesh Jangid. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 387-391 (Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025).

@inproceedings{f6457d320159411d9908b720dd1a2850,

title = "Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications",

abstract = "The article investigates a compact, low-profile rectangular patch antenna load with a complimentary ring resonator (CSRR) on the patch and a rectangular complimentary ring resonator on the ground for sub-6GHz 5G applications. The proposed design is able to achieve 365 MHz, 522 MHz, and 697 MHz at 3.1824, 6.3576, and 7.978 GHz respectively. The proposed antenna offers 78, 53, and 49\% simulated radiation frequencies at 3.1824, 6.3576, and 7.978 GHz, respectively. A random forest modelling is developed based on Regression and classification predictive modelling to predict return loss for various dimensions of the antenna. The model predicts the data with 99.98\% accuracy.",

author = "Pattanayak, \{Soumya Sundar\} and Shweta Singh and M. Shwetha and Ashim Biswas and Utsab Banerjee and Shaleen Bhatnagar",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 International Conference on Next Generation Communication and Information Processing, INCIP 2025 ; Conference date: 23-01-2025 Through 24-01-2025",

year = "2025",

doi = "10.1109/INCIP64058.2025.11019473",

language = "English",

series = "Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "387--391",

editor = "Mahipal Bukya and Pramod Kumar and Sanyog Rawat and Mahesh Jangid",

booktitle = "Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025",

address = "United States",

}

Pattanayak, SS, Singh, S, Shwetha, M, Biswas, A, Banerjee, U & Bhatnagar, S 2025, Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications. in M Bukya, P Kumar, S Rawat & M Jangid (eds), Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025. Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025, Institute of Electrical and Electronics Engineers Inc., pp. 387-391, 2025 International Conference on Next Generation Communication and Information Processing, INCIP 2025, Bangalore, India, 23-01-25. https://doi.org/10.1109/INCIP64058.2025.11019473

Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications. / Pattanayak, Soumya Sundar; Singh, Shweta; Shwetha, M. et al.
Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025. ed. / Mahipal Bukya; Pramod Kumar; Sanyog Rawat; Mahesh Jangid. Institute of Electrical and Electronics Engineers Inc., 2025. p. 387-391 (Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications

AU - Pattanayak, Soumya Sundar

AU - Singh, Shweta

AU - Shwetha, M.

AU - Biswas, Ashim

AU - Banerjee, Utsab

AU - Bhatnagar, Shaleen

PY - 2025

Y1 - 2025

N2 - The article investigates a compact, low-profile rectangular patch antenna load with a complimentary ring resonator (CSRR) on the patch and a rectangular complimentary ring resonator on the ground for sub-6GHz 5G applications. The proposed design is able to achieve 365 MHz, 522 MHz, and 697 MHz at 3.1824, 6.3576, and 7.978 GHz respectively. The proposed antenna offers 78, 53, and 49% simulated radiation frequencies at 3.1824, 6.3576, and 7.978 GHz, respectively. A random forest modelling is developed based on Regression and classification predictive modelling to predict return loss for various dimensions of the antenna. The model predicts the data with 99.98% accuracy.

AB - The article investigates a compact, low-profile rectangular patch antenna load with a complimentary ring resonator (CSRR) on the patch and a rectangular complimentary ring resonator on the ground for sub-6GHz 5G applications. The proposed design is able to achieve 365 MHz, 522 MHz, and 697 MHz at 3.1824, 6.3576, and 7.978 GHz respectively. The proposed antenna offers 78, 53, and 49% simulated radiation frequencies at 3.1824, 6.3576, and 7.978 GHz, respectively. A random forest modelling is developed based on Regression and classification predictive modelling to predict return loss for various dimensions of the antenna. The model predicts the data with 99.98% accuracy.

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M3 - Conference contribution

AN - SCOPUS:105010205522

T3 - Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025

SP - 387

EP - 391

BT - Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025

A2 - Bukya, Mahipal

A2 - Kumar, Pramod

A2 - Rawat, Sanyog

A2 - Jangid, Mahesh

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2025 International Conference on Next Generation Communication and Information Processing, INCIP 2025

Y2 - 23 January 2025 through 24 January 2025

ER -

Pattanayak SS, Singh S, Shwetha M, Biswas A, Banerjee U, Bhatnagar S. Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications. In Bukya M, Kumar P, Rawat S, Jangid M, editors, Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 387-391. (Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025). doi: 10.1109/INCIP64058.2025.11019473

Metamaterial Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications

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