Citation

Mashagba, Hamza A. and Abd Aziz, Azlan and Roslee, Mardeni and A Rahim, Hasliza and Al-Bawri, Samir Salem and Al-Mashagba, Lara A. and Bakhuraisa, Yaser A. (2025) Dual-Band Square MIMO Textile Antenna for WBAN and 5G: Compact Structure and Bending Performance. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

Text 62.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

This research presents an improved two-port, linearly polarized dual-band textile MIMO antenna for Wireless Body Area Networks (WBAN) and fifth-generation (5G) sub-band applications. The MIMO antenna consists of two square patch elements, each integrated with a bar slot to operate in dual-band mode at 2.45 GHz and 3.5 GHz, with individual patch dimensions of 48.5 x 30 x 0.17 mm3 . A hybrid approach for a two-port octagonal patch bar slotted dual-band MIMO textile antenna attains a notable decrease in Mutual Coupling (MC) among closely positioned array elements at 0.15λ. The antenna is assessed under bending conditions with 15° and 60° curvatures, illustrating its durability in practical on-body applications. Bending at various angles significantly influenced performance at elevated frequencies, with heightened mutual coupling at 15° for both frequency ranges. The bending analysis indicated diminished resonance shifts with reduced bending angles and stable performance in the lower band, although variations in the higher band. The proposed two-port MIMO antenna attains the following commendable outcomes: S11 < -10 dB, S21 < -30 dB, realized gain > 3 dB, Envelope Correlation Coefficient (ECC) < 0.1, and Diversity Gain (DG) ≈ 10 dB under flat and bending conditions.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Antenna and propagation, 5G
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering and Technology (FET) Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Mar 2026 05:12
Last Modified:	18 Mar 2026 06:42
URII:	http://shdl.mmu.edu.my/id/eprint/15551

Downloads

Edit (login required)