Machine learning-based technique for gain and resonance prediction of mid band 5G Yagi antenna

MA Haque, MA Rahman, SS Al-Bawri, Z Yusoff… - Scientific Reports, 2023 - nature.com
In this study, we present our findings from investigating the use of a machine learning (ML)
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …

[HTML][HTML] Quasi-Yagi antenna design for LTE applications and prediction of gain and directivity using machine learning approaches

MA Haque, MA Zakariya, SS Al-Bawri, Z Yusoff… - Alexandria Engineering …, 2023 - Elsevier
In recent years, improvements in wireless communication have led to the development of
microstrip or patch antennas. The article discusses using simulation, measurement, an RLC …

[PDF][PDF] Microstrip patch antenna: A review and the current state of the art

AS Mohammed, S Kamal, MF Ain… - Journal of Advanced …, 2019 - researchgate.net
The mobile technology is fast-developing nowadays owing to its large impact on social life.
Accordingly, there is a need to study the progress of the antenna systems as they are …

[PDF][PDF] A review of microstrip patch antenna design at 28 GHz for 5G applications system

ASB Mohammed, S Kamal, MF Ain… - International Journal of …, 2019 - academia.edu
The mobile technology is fast-developing nowadays owing to its large impact on social life.
Accordingly, there is a need to study the progress of the antenna systems as they are …

A dielectric resonator antenna with enhanced gain and bandwidth for 5G applications

I Ali, MH Jamaluddin, A Gaya, HA Rahim - sensors, 2020 - mdpi.com
In this paper, a dielectric resonator antenna (DRA) with high gain and wide impedance
bandwidth for fifth-generation (5G) wireless communication applications is proposed. The …

Machine learning-based technique for resonance and directivity prediction of UMTS LTE band quasi Yagi antenna

MA Haque, D Saha, SS Al-Bawri, LC Paul, MA Rahman… - Heliyon, 2023 - cell.com
In this study, we have presented our findings on the deployment of a machine learning (ML)
technique to enhance the performance of LTE applications employing quasi-Yagi-Uda …

Hybrid precoding based on active learning for mmWave massive MIMO communication systems

M Nouri, H Behroozi, H Bastami… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, a cost-effective and high-accuracy precoding technique based on-Fuzzy
pareto active learning (FPAL) is proposed for millimeter wave (mmWave) massive MIMO …

High-gain vivaldi antenna with wide bandwidth characteristics for 5G mobile and Ku-Band radar applications

R Ullah, S Ullah, F Faisal, R Ullah, D Choi, A Ahmad… - Electronics, 2021 - mdpi.com
In this paper, antipodal Vivaldi antenna is designed for 5th generation (5G) mobile
communication and Ku-band applications. The proposed designed has three layers. The …

A compact and flexible UHF RFID tag antenna for massive IoT devices in 5G system

M Hussain, Y Amin, KG Lee - Sensors, 2020 - mdpi.com
Upcoming 5th-generation (5G) systems incorporate physical objects (referred to as things),
which sense the presence of components such as gears, gadgets, and sensors. They may …

3D radiation pattern reconfigurable phased array for transmission angle sensing in 5G mobile communication

J Zhang, S Zhang, X Lin, Y Fan, GF Pedersen - Sensors, 2018 - mdpi.com
This paper proposes a 3D radiation pattern reconfigurable antenna (RPRA) and a
reconfigurable phased array (RPA) for 5G mobile communication. The antenna and array …