217
Views
10
CrossRef citations to date
0
Altmetric
Articles

A Novel Eye-shaped Monopole Antenna for Wideband and 5G Applications

, , &
Pages 1283-1293 | Published online: 20 Dec 2020
 

ABSTRACT

This paper presents a compact dual-band monopole antenna printed on the low-cost FR4 substrate for multi wireless communication applications. The novel antenna consists of an eye-shaped patch and a semicircular shaped slot on the half elliptical ground plane. The antenna’s measurement results include multiband frequencies such as S, C, X, Ku, K, and Ka-band, which covers the bandwidth requirements of WiMAX, WLAN, satellite TV, and 5G applications at the lower and upper-frequency band. The dimension of the antenna is (26 × 20 × 1.6) mm3 at the minimum frequency of 3.15 GHz. The proposed configuration operates at 3.55 and 19.95 GHz with a bandwidth of about 28.17% (3.15–4.15 GHz) and 147.37% (5.25–34.65 GHz), respectively, for the simulation part. The measured bandwidth (−10 dB) for S11 in the lower and upper band is about 49.71% (2.688–4.506 GHz) and 152.01% (4.933–35.861 GHz) at a centre frequency of 3.657 and 20.346 GHz, respectively. The proposed antenna has a stability of the radiation characteristics, suitable gain, and good impedance across the operating bandwidth of the dual-band antenna.

Acknowledgement

The author thanks the Erbil Polytechnic University and Urmia University for supporting this study and fabricating the antennas.

Additional information

Notes on contributors

Hiwa Taha Sediq

Hiwa Taha Sediq is working as a research scholar in Department of Information Technology on wireless communications (Antenna). He was awarded bachelor’s degree in physics from the University of Salahadden in Erbil. After his graduation, he has been working as a teacher for 10 years and as head of information technology department. He received the MSc degree in communication engineering from University of Birmingham in Unite Kingdom in 2013. His prime research interest is in the areas of wireless communications with focus on antenna applications.

Javad Nourinia

Javad Nourinia received the BS degree in electrical and electronic engineering from Shiraz University and MS degree in electrical and telecommunication engineering from Iran University of Science and Technology and PhD degree in electrical and telecommunication from University of Science and Technology, Tehran, Iran, in 2000. From 2000 he was an assistant professor and now is associated professor in the Department of Electrical Engineering, of Urmia University, Urmia, Iran. His primary research interests are in antenna design, numerical methods in electromagnetic, microwave circuits, filters and signal processing. Email: [email protected]

Changiz Ghobadi

Changiz Ghobadi received the BS degree in electrical and electronic engineering and MS degree in electrical and telecommunication engineering from Isfahan University of Technology, Isfahan, Iran and PhD degree in electrical-telecommunication from University of Bath, Bath, UK in 1998. From 1998 he was an assistant professor and now is associated professor in the Department of Electrical Engineering, of Urmia University, Urmia, Iran. His primary research interests are in antenna design, radar and adaptive filters. Email: [email protected]

Bahman Mohammadi

Bahman Mohammadi was awarded Bachelor’s degree in communication in 2007 from the University of AL Yarmouk in Iran. He received the MSc degree in communication and wave engineering from University of Urmia in Iran in 2010. His research interest is in the areas of small antenna, filter, MIMO antenna and metamaterials. Email: [email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 100.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.