Next-Gen 5G Antenna: Antipodal Vivaldi Antenna Using Ferro A6s for Enhanced Performance at 60 GHz

Mohd Azlishah Bin Othman*, Abd Shukur Bin Jaafar, Redzuan Abd Manap, Mohammad Harris Misran, Maizatul Alice Meor Said, Shadia Suhaimi, Nurmala Irdawaty Hassan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Antipodal Vivaldi Antenna (APVA) has been identified as a promising technology for use in 5G systems due to its high frequency, wide bandwidth, and high gain. In this study, we evaluated the performance of the APVA using Ferro A6s substrate at 60 GHz and compared it with other substrates. Our findings demonstrate that the Ferro A6s substrate exhibits superior performance in terms of return loss, gain, and bandwidth when compared with other substrates. Our research contributes to the field of high-frequency wireless communication and can pave the way for the development of better 5G systems. The results of this study have the potential to revolutionize 5G backbone communication.

Original languageEnglish
Title of host publicationProceedings of Third Emerging Trends and Technologies on Intelligent Systems. ETTIS 2023
EditorsArti Noor, Kriti Saroha, Emil Pricop, Abhijit Sen, Gaurav Trivedi
PublisherSpringer
Pages727-734
Number of pages8
ISBN (Electronic)9789819939633
ISBN (Print)9789819939626
DOIs
Publication statusPublished - 20 Sept 2023
Event3rd International Conference on “Emerging Trends and Technologies on Intelligent Systems" 2023 - Noida, India
Duration: 23 Feb 202324 Feb 2023

Publication series

NameLecture Notes in Networks and Systems
Volume730
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference3rd International Conference on “Emerging Trends and Technologies on Intelligent Systems" 2023
Abbreviated titleETTIS-2023
Country/TerritoryIndia
CityNoida
Period23/02/2324/02/23

Keywords

  • Antipodal
  • Bandwidth
  • Ferro A6s
  • Return loss
  • Vivaldi

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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