Design and Analysis of a Low-profile Microstrip Antenna for 5G Applications using AI-based PSO Approach

Q4 Engineering

Journal of Telecommunications and Information Technology Pub Date : 2023-09-01 DOI:10.26636/jtit.2023.3.1368

K. Kundu, Ankan Bhattacharya, Firdous H. Mohammed, N. Pathak

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引用次数: 0

Abstract

Microstrip antennas are high gain aerials for low-profile wireless applications working with frequencies over 100 MHz. This paper presents a study and design of a low cost slotted-type microstrip patch antenna that can be used in 5G millimeter wave applications. This research focuses on the effect of ground slots and patch slots which, in turn, affect different antenna parameters, such as return loss, VSWR, gain, radiation pattern, and axial ratio. The working frequency range varies from 24 to 28 GHz, thus falling within 5G specifications. A subset of artificial intelligence (AI) known as particle swarm optimization (PSO) is used to approximatively solve issues involving maximization and minimization of numerical values, being highly challenging or even impossible to solve in a precise manner. Here, we have designed and analyzed a low-profile printed microstrip antenna for 5G applications using the AI-based PSO approach. The novelty of the research is mainly in the design approach, compactness of size and antenna applicability. The antenna was simulated with the use of HFSS simulation software.

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基于人工智能粒子群算法的5G低轮廓微带天线设计与分析

微带天线是一种高增益天线，用于频率超过100兆赫的低姿态无线应用。本文研究和设计了一种可用于5G毫米波应用的低成本开槽型微带贴片天线。本文主要研究地槽和贴片槽对天线回波损耗、驻波比、增益、辐射方向图和轴向比等参数的影响。工作频率范围为24 ~ 28ghz，属于5G规格。人工智能(AI)的一个子集被称为粒子群优化(PSO)，用于近似地解决涉及数值最大化和最小化的问题，这些问题极具挑战性，甚至无法以精确的方式解决。在这里，我们使用基于人工智能的PSO方法设计并分析了用于5G应用的低轮廓印刷微带天线。该研究的新颖性主要体现在设计方法、尺寸紧凑和天线适用性方面。利用HFSS仿真软件对天线进行仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Telecommunications and Information Technology Engineering-Electrical and Electronic Engineering

CiteScore

1.20

自引率

0.00%

发文量