Design of High-Isolation UWB 4 × 4 MIMO Antenna for 5G mmWave Applications Using Artificial Neural Networks
摘要
This paper advocates a groundbreaking method to develop a high-isolation UWB 4 × 4 MIMO antenna specifically tailored for 5G smartphone applications. This design strategy leverages the power of ANN to optimize antenna dimensions and performance. At first, the antenna design process is initiated with a solitary circular patch element, which is augmented with a rectangular slot. The dimensions of both the patch and slots are meticulously generated with ANN. The resultant single antenna element boasts compact dimensions of 6 × 4.96 mm2 and operates effectively within the UWB spectrum, ranging from 11.6 GHz (24.4–36 GHz), exhibiting commendable gain characteristics. Following this, the single antenna element forms the cornerstone of the MIMO configuration. Four such elements are integrated to form the MIMO system, aiming to achieve high isolation and compact size while ensuring the continuity of UWB functionality at 11.6 GHz. Extensive assessment of the MIMO system’s diversity performance is conducted, revealing robust metrics including the ECC and DG that align with practical standards. This detailed analysis demonstrates the success of using ANN in designing UWB MIMO antennas for 5G applications, showing potential for enhanced performance and seamless integration within today’s smartphone technology.