Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …
(AI)-based antenna design and optimization for wireless communications. Machine learning …
[HTML][HTML] Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications
Abstract Miniaturized Millimeter Wave (mm-wave) MIMO antenna arrays with an observed
10-dB impedance broad bandwidth of 3.7 GHz (25.785–29.485) are the focus of this study's …
10-dB impedance broad bandwidth of 3.7 GHz (25.785–29.485) are the focus of this study's …
Machine learning-optimized compact frequency reconfigurable antenna with RSSI enhancement for long-range applications
This study presents an innovative and compact monopole antenna with dual-band
frequency reconfigurability for LoRa applications. It operates within the 915 MHz and 868 …
frequency reconfigurability for LoRa applications. It operates within the 915 MHz and 868 …
[HTML][HTML] Broadband high gain performance MIMO antenna array for 5 G mm-wave applications-based gain prediction using machine learning approach
This paper presents the findings about implementing a machine learning (ML) technique to
optimize the performance of 5 G mm wave applications utilizing multiple-input multiple …
optimize the performance of 5 G mm wave applications utilizing multiple-input multiple …
[HTML][HTML] Performance improvement of THz MIMO antenna with graphene and prediction bandwidth through machine learning analysis for 6G application
This article provides the findings of a study that integrated simulation, an RLC equivalent
circuit, and machine learning (ML) techniques to improve wireless indoor communications …
circuit, and machine learning (ML) techniques to improve wireless indoor communications …
Machine learning-based technique for gain and resonance prediction of mid band 5G Yagi antenna
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 …
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
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 …
microstrip or patch antennas. The article discusses using simulation, measurement, an RLC …
Triple-band reconfigurable monopole antenna for long-range IoT applications
In this study, a novel reconfigurable triple-band monopole antenna for LoRa IoT applications
is fabricated on an FR-4 substrate. The proposed antenna is designed to function at three …
is fabricated on an FR-4 substrate. The proposed antenna is designed to function at three …
Machine learning technique based highly efficient slotted 4-port MIMO antenna using decoupling structure for sub-THz and THz 6G band applications
This article presents the results of our investigation into a machine learning (ML) method for
6G MIMO antenna performance improvement in the THz band. Regarding the lowest …
6G MIMO antenna performance improvement in the THz band. Regarding the lowest …
[HTML][HTML] Regression supervised model techniques THz MIMO antenna for 6G wireless communication and IoT application with isolation prediction
This article presents unique research on the application of machine learning techniques to
enhance the efficiency of antennas for wireless communication and Internet of Things (IoT) …
enhance the efficiency of antennas for wireless communication and Internet of Things (IoT) …