Design and performance analysis of dual resonance millimeter wave reflectarray unit cells for 5G communication systems

Khan, Sher Dali and Abbasi, Muhammad Inam and Mohd Ibrahim, Imran and Ul Haq, Qazi Mazhar and Sohu, Izhar Ahmed and Wong, Adam Yoon Khang (2024) Design and performance analysis of dual resonance millimeter wave reflectarray unit cells for 5G communication systems. In: 2024 International Conference on Engineering & Computing Technologies (ICECT), 23 May 2024, Islamabad, Pakistan.

Text DESIGN AND PERFORMANCE ANALYSIS OF DUAL RESONANCE MILLIMETER WAVE REFLECTARRAY UNIT CELLS FOR 5G cOMMUNICATION SYSTEMS.pdf Restricted to Registered users only Download (653kB)

Abstract

This paper introduces a novel design for a single-layer reflectarray antenna capable of dual resonance operation specifically targeted for 28/38 GHz 5G communication systems. The design incorporates a rectangular ring-loaded patch integrated into a conventional microstrip reflectarray, enabling the antenna to achieve dual resonance at the desired frequencies. Furthermore, a comprehensive parametric study was conducted to investigate the impact of significant dimensions within the design and characterization of different material properties. The study involved thorough analysis using a commercially available CST computer model. The fabricated design configurations were implemented on a substrate with a thickness of 0.51 mm, specifically using Rogers Duroid 5880 material. The simulated results indicate that the proposed unit cell element resonates at two different frequencies (28/38 GHz) and obtained promising return loss S(1,1) and reflection phase that can be used in designing a reflectarray antenna design for future communication systems.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Reflectarray antenna, Dual resonance, Unit cell, 5G
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	NUR FARISAH JAFRIN
Date Deposited:	21 Jul 2026 07:32
Last Modified:	21 Jul 2026 07:32
URI:	http://eprints.utem.edu.my/id/eprint/29830
Statistic Details:	View Download Statistic

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