Performance prediction of a two-port terahertz-based graphene-silicon-based tunable antenna with polarization and
Applied Optics
|August 12, 2025
Summary
This study introduces a novel hybrid twin-port radiator for terahertz (THz) applications. The antenna offers polarization and pattern diversity, tunable operation, and beam tilting, enhancing THz cellular communication systems.
Area of Science:
- Electromagnetics and Applied Physics
- Antenna Theory and Design
- Terahertz Technology
Background:
- Terahertz (THz) communication systems require advanced antenna solutions for efficient signal transmission.
- Existing antennas often lack polarization and pattern diversity, limiting their applicability in complex environments.
- Tunable and reconfigurable antennas are crucial for adapting to dynamic THz communication needs.
Purpose of the Study:
- To propose and analyze a hybrid twin-port radiator with integrated polarization and pattern diversity.
- To investigate the impact of structural features, such as fan blade slots and partially reflecting surfaces (PRS), on antenna performance.
- To demonstrate the tunability of the radiator using graphene coating and evaluate its performance using machine learning techniques.
Main Methods:
- Design and simulation of a hybrid twin-port radiator incorporating a fan blade slot and PRS.
- Utilizing graphene coating on a silicon dielectric for tunable characteristics.
- Employing random forest and XGBoost algorithms for predicting antenna reflection coefficient (|S11|).
- Analysis of antenna parameters including axial ratio, isolation, and beam tilting.
Main Results:
- The radiator achieves effective operation within the 2.45–3.15 THz frequency range.
- A low axial ratio (<3 dB) is maintained from 2.61 to 2.89 THz, indicating good circular polarization.
- The PRS effectively tilts the beams from port-1 and port-2 by ±30 degrees.
- Graphene coating enables effective tunability of the radiator's performance.
Conclusions:
- The proposed hybrid twin-port radiator demonstrates significant polarization and pattern diversity.
- The antenna's tunable nature and beam-steering capabilities make it highly suitable for THz-based cellular communication systems.
- The integration of machine learning for performance prediction showcases an efficient design optimization approach.
