Artificial Magnetic Conductor Based Miniaturized Frequency Re-configurable Dielectric Resonator Antenna for 5G and WBAN Applications

Authors

  • Shahid Khan Institut Supérieur d'Électronique et d'Automatique University De Lorraine, Metz, Lorraine, 57070, France
  • Hazrat Ali Department of Electrical and Computer Engineering COMSATS University Islamabad, Abbottabad, 22060, Pakistan
  • Syed Usman Ali Shah Department of Electrical and Computer Engineering COMSATS University Islamabad, Abbottabad, 22060, Pakistan
  • Haider Ali Department of Electronics Technology, University of Technology, Nowshera, Pakistan
  • Institut Supérieur d'Électronique et d'Automatique University De Lorraine, Metz, Lorraine, 57070, France

Keywords:

5G, artificial magnetic conductor, dielectric resonator antenna, efficiency, gain, WBAN

Abstract

In this work a novel miniaturized frequency reconfigurable Dielectric Resonator antenna using Artificial Magnetic Conductor (AMC) surface is proposed. The prototype is set to work for 5G mid-band frequencies and Wireless Body Area Network (WBAN) applications. The work consists of two parts: firstly, the miniaturization of the prototype using AMC surface and secondly using the same AMC surface to reconfigure the frequency to another wireless application. Using AMC surface, the DR volume is reduced by 85% percent. Connecting the AMC unit cells through ideal switches (micro-trip slabs) re-configures the DR for different frequency. The overall performance observed before switching as well as after switching in both the cases is promising. The design is fabricated for performance analysis. A close agreement is reported between simulated and measured values of the reflection coefficients, radiation pattern, gain and efficiencies. The prototype has stable radiation pattern for both the operating frequencies. The impedance bandwidth values for both the resonance frequencies are 14.2% and 16% respectively. The prototype has a maximum gain of 6.8dBi and a maximum efficiency of 88%.

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Author Biographies

Shahid Khan, Institut Supérieur d'Électronique et d'Automatique University De Lorraine, Metz, Lorraine, 57070, France

Shahid Khan was born in Landikotal, Pakistan in 1986. He received the B.S. degree in Communication Engineering from the University of Engineering and Technology Peshawar Pakistan and M.S. degree in Satellite Navigation and Related Applications from Politecnico de Torino Italy in 2011. Currently he is doing his Ph.D. from University de Lorraine France. He is working on the Development of Reconfigurable Dielectric Resonator antenna for different wireless applications. Before joining University de Lorraine he worked as a Lecturer in Comsats University Abbottabad from 2012 to 2017.

Hazrat Ali, Department of Electrical and Computer Engineering COMSATS University Islamabad, Abbottabad, 22060, Pakistan

Hazrat Ali received his B.Sc. and M.Sc. degrees in Electrical Engineering in 2009 and 2012 respectively. He did his Ph.D. in 2015 from University of Science and Technology Beijing, China. He is currently Assistant Professor at Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus. At CUI, he is the member of the signal processing and machine learning research group. He is also the Course Head for Digital Signal Processing course. His research interests lie in unsupervised learning, generative and discriminative approaches, and speech and medical image processing. He is Associate Editor at IEEE and served as Reviewer at IEEE Access, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Emerging Topics in Computational Intelligence.

Syed Usman Ali Shah, Department of Electrical and Computer Engineering COMSATS University Islamabad, Abbottabad, 22060, Pakistan

Syed Usman Ali Shah did his bachelor in Telecommunication and Networks from Hazara University Pakistan. He did his Masters from Comsats University Islamabad, Abbotabad Campus in 2017. His has worked on a number of project including microstrip patch antennas, dielectric resonator antennas, reconfigurable antennas.

Haider Ali, Department of Electronics Technology, University of Technology, Nowshera, Pakistan

Haider Ali was born in 1984. He completed his B.S. degree in Telecom Engineering from NUCES, Pakistan, in 2007. He received his Doctorate and a M.S. degree in Electronics Engineering from Politecnico Di Torino, Italy, in 2010, and completed his Ph.D. in Electronics & Communication Engineering from there in 2014. He is currently working as Assistant Professor at the Department of Electrical Engineering, and Technology, University of Technology, Nowshera, Pakistan. His research interests include data acquisition systems, renewable energy materials, power electronics systems, design and development of antenna, radio frequency (RF) front end and telecommunication subsystem for small satellites.

, Institut Supérieur d'Électronique et d'Automatique University De Lorraine, Metz, Lorraine, 57070, France

Tanougast Camel was born on May 10, 1972 in Thionville – France. He did his Ph.D. degree from Laboratory LIEN - Univ. Henri Poincaré Nancy 1 in 2011. His Ph.D. thesis topic was “Methodology for Temporal Partitioning for System on Chip Implementation based Run Time Reconfigurable Technology”. Currently he is Head of the ASEC Team (smart embedded and sensor systems). He is also serving as a Full Professor in Institute of Higher Learning in Electronics and Automation, University of Lorraine, France. His research interests are Self-organised system based run time reconfigurable technology, Custom Computing and Embedded Systems for Image/Video and Signal applications using FPGAs, Secure Communications and radio communication, reconfigurable embedded and RF systems for different wireless applications. He has authored and co-authored more than 100 articles and conference papers.

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Published

2020-09-01

How to Cite

[1]
Shahid Khan, Hazrat Ali, Syed Usman Ali Shah, Haider Ali, and Camel Tanougast, “Artificial Magnetic Conductor Based Miniaturized Frequency Re-configurable Dielectric Resonator Antenna for 5G and WBAN Applications”, ACES Journal, vol. 35, no. 9, pp. 1064–1072, Sep. 2020.

Issue

2020: Vol 35 Iss 9

Section

Articles