- Tytuł:
- Design and Analysis of a Low-profile Microstrip Antenna for 5G Applications using AI-based PSO Approach
- Autorzy:
-
Kundu, Krishanu
Bhattacharya, Ankan
Mohammed, Firdous Hussain
Pathak, Narendra Nath - Powiązania:
- https://bibliotekanauki.pl/articles/24200747.pdf
- Data publikacji:
- 2023
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
5G applications
high gain
low profile
microstrip patch antenna
PSO - Opis:
- 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.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2023, 3; 68--73
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł