MIMO Antenna Design Through Genetic Algorithm

Abstract

Massive multiple-input multi-output (MIMO) is a technology established more than a decade ago; since then it has been employed as an integral part of the fifth generation (5G) mobile technologies. Recently, MIMO antenna designs have taken the attention of researchers due to their benefits such as reduced bit errors, high throughput, low latency and others. MIMO antennas consist of multiple radiating elements leading to have complex designs. Hence, frequently, optimization-based methods are required during their design; this paper provides one possible optimization-based methodology for designing them. The design procedure starts with configuring the MIMO antenna and then employing the genetic algorithm (GA) for optimizing the design parameters describing the MIMO antenna geometry. Using the GA method, leads to have a valid electromagnetic (EM)-verified post-layout generation and reduces the efforts of any designer in providing ready-to-fabricate layout. For validating our proposed method, we design and optimize MIMO antenna with a bandwidth of 400 MHz in the frequency band 4.1 GHz–4.5 GHz. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.