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

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 o...

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Bibliographic Details
Published in:Journal of Telecommunications and Information Technology 2023-09, Vol.3 (2023), p.68-73
Main Authors: Kundu, Krishanu, Bhattacharya, Ankan, Mohammed, Firdous H., Pathak, Narendra Nath
Format: Article
Language:English
Subjects:
5G applications
5G mobile communication
Aerials
Antenna radiation patterns
Antennas
Artificial intelligence
Bandwidths
Frequency ranges
High gain
low profile
Microstrip antennas
microstrip patch antenna
Millimeter waves
Optimization
Particle swarm optimization
Patch antennas
PSO
Radiation
Simulation
Smartphones
Swarm intelligence
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Summary: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.
ISSN:1509-4553
1899-8852
DOI:10.26636/jtit.2023.3.1368