Compact F-slot antenna architecture for high-efficiency millimeter-wave operation in certain 5G and prospective 6G wireless networks

Citation

Barua, Hrittik Raj and Dewanjee, Joy and Sheraz, Muhammad and Nath, Sristy Shidul and Chuah, Teong Chee and Hassan, Syed Rizwan (2026) Compact F-slot antenna architecture for high-efficiency millimeter-wave operation in certain 5G and prospective 6G wireless networks. Ain Shams Engineering Journal, 17 (12). p. 104456. ISSN 20904479

[img] Text
Compact F-slot antenna architecture for high-efficiency millimeter-wave operation in certain 5G and prospective 6G wireless networks.pdf - Published Version
Restricted to Repository staff only

Download (17MB)

Abstract

This paper presents a compact microstrip antenna array with an F-shaped slot, designed to meet millimeter-wave frequency requirements for emerging 5G and 6G wireless networks. The proposed array measures 14 × 6 mm2 and is implemented on a Rogers RT5880 substrate with a 50 Ω stepped feed line for impedance matching. Operating in the 37.5–38.5 GHz range, it offers a 1 GHz bandwidth and a peak gain of 10 dBi. To enhance design efficiency, supervised machine learning techniques-Gaussian Process Regression (GPR), Support Vector Machines (SVM), and Linear Regression (LR) were applied for accurate Return Loss (S11) prediction. GPR outperformed others with R2 = 0.99, MAE = 0.23, MSE = 0.085, RMSE = 0.291, and MAPA = 99.89%. This ML-driven approach reduced simulation time and accelerated prototyping. Combining compactness, wide bandwidth, and high gain, the proposed antenna array is a strong candidate for next-generation high-frequency communication infrastructures.

Item Type: Article
Uncontrolled Keywords: 5G
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 01 Oct 2026 07:06
Last Modified: 01 Oct 2026 07:06
URII: http://shdl.mmu.edu.my/id/eprint/16788

Downloads

Downloads per month over past year

View ItemEdit (login required)