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Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Dual-band graphene-based THz MIMO antenna for 6G-enabled biomedical application using supervised regression machine

Md Ashraful Haque¹, Maruf Billah², Jun-Jiat Tiang³

¹Department of Electrical and Electronic Engineering, University of Liberal Arts Bangladesh (ULAB), Dhaka, 1207, Bangladesh. limon.ashraf@gmail.com.

Scientific Reports

|May 1, 2026

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This study introduces a novel graphene antenna for terahertz (THz) frequencies, enhancing 6G wireless and biomedical sensing. The design achieves high gain and efficiency, optimized using machine learning for faster development.

Area of Science:

Electrical Engineering
Materials Science
Biomedical Engineering

Background:

Increasing wireless data traffic necessitates advanced antenna solutions.
Terahertz (THz) frequencies offer potential for high-speed communication and sensitive biomedical sensing.

Purpose of the Study:

To design and optimize a graphene-based microstrip patch antenna for 6G communications and biomedical applications.
To explore novel slot geometries and MIMO configurations for improved antenna performance.

Main Methods:

Development of a dual-band graphene microstrip patch antenna with novel slot designs.
Integration of RLC equivalent circuit modeling and machine learning (ML) for performance optimization.
Material analysis to identify optimal materials (graphene, polyimide) for THz devices.

Keywords:

6G Biomedical industrial and innovation Machine learning Regression THz MIMO antenna

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Main Results:

Achieved dual-band operation with a narrowband (0.2839 THz) and wideband (3.8201 THz).
Demonstrated high peak gain (12.83 dB), efficiency (93.1%), and isolation (-38.8 dB).
ML model validation showed high accuracy and reduced design time.

Conclusions:

The proposed graphene antenna is suitable for high-data-rate, low-latency wireless systems and advanced biomedical sensing.
The integration of ML significantly accelerates the design and optimization process for THz antennas.
Graphene and polyimide are promising materials for efficient, miniaturized THz devices.