MIMO antennas of 6G communication with low latency, high data rates and increased spectral efficiency. The antenna is need to compact in size and high isolation at mmWave and THz frequencies. MIMO antennas are capable of supporting sophisticated 6G applications such as IoE, holographic communications and real-time AI. The two-port MIMO antenna system is designed to operate in millimeter-wave frequency range and targeting 6G applications. For millimeter-wave frequencies used in 6G and IoT applications, a two-port MIMO antenna system, DMIMOA-RSTGCN-6G-IOT is designed to be configurable using Reconfigurable Spatio-Temporal Graph Neural Networks (RSTGNN)., the designed antenna extends impedance bandwidth and provides high isolation without using traditional decoupling structures. A four-port MIMO antenna working within the 7.1-13 THz terahertz frequency range exhibits the peak gain of 8.3 dB at 11 THz with a silicon dioxide substrate. Reconfigurability is achieved through DC bias control of the chemical potential of graphene, dynamically adjusting the antenna characteristics. Performance analysis reveals negligible ECC and DG, providing trustworthy short-range 6G communication. The proposed model outperforms the current approaches AW-MIMO-AD-MT, CPWU-MIMOA-WCN, and ID-MIMO-2D-MSD with up to 12.58% increased bandwidth, 8.36% reduced return loss, and 9.32% gain comparing with the existing methods such as an array-based wideband millimeter-wave antenna combined with two-element MIMO antenna for 5G mobile terminals (AW-MIMO-AD-MT), An ultra-wideband small CPW-fed Wireless network MIMO antenna (CPWU-MIMOA-WCN), an Multi-input multi-output 2D inverse design Devices with a met structure (ID-MIMO-2D-MSD) respectively. The proposed DMIMOA-RSTGCN-6G-IoT architecture offers a compact and low-profile structure suitable for mmWave device integration while incorporating bias-tunable graphene layers that enable dynamic frequency reconfiguration for short-range THz communication. By employing a RSTGCN, the design effectively models spatial coupling and temporal optimization to achieve improved isolation, reduced return loss and enhanced gain.
Uthayakumar et al. (Tue,) studied this question.