Design of Graphene-Based Reconfigurable Intelligent Surface for THz Applications

This paper presents design and simulation of a graphene-based Reconfigurable Intelligent Surface (RIS) for the active and dynamic control of THz waves. The proposed RIS configuration has a periodic array of rectangular graphene meta-atoms, positioned on top of a silicon substrate with a metallic ground. The design and analysis have been conducted using CST 3D electromagnetic simulator. The graphene-based RIS in this work demonstrates near-total reflection, reaching close to 96% across a broad frequency spectrum from 0.1 to 4 THz. It maintains efficiency irrespective of wave polarization and incident angles. Moreover, it has been demonstrated that adjusting the chemical potential of graphene enables complete absorption. This adaptability extends to anomalous reflection capabilities for adjusting through the modulation of unit cell numbers and phase gradients within the RIS. The investigation of signal-to-noise ratio (SNR) improvement by the proposed graphene-based RIS in THz wireless communication networks has also been conducted.