[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 …
Multi-objective sparse synthesis optimization of concentric circular antenna array via hybrid evolutionary computation approach
Sparse synthesis can reduce the maximum sidelobe level (SLL) and overhead of the
concentric circular antenna array (CCAA) by switching off partial array elements. However …
concentric circular antenna array (CCAA) by switching off partial array elements. However …
Machine learning technique based highly efficient slotted 4-port MIMO antenna using decoupling structure for sub-THz and THz 6G band applications
SS Al-Bawri, RA Ananta, MA Haque… - Optical and Quantum …, 2024 - Springer
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 …
Machine learning-based technique for gain prediction of mm-wave miniaturized 5G MIMO slotted antenna array with high isolation characteristics
This study presents the design and analysis of a compact 28 GHz MIMO antenna for 5G
wireless networks, incorporating simulations, measurements, and machine learning (ML) …
wireless networks, incorporating simulations, measurements, and machine learning (ML) …
[HTML][HTML] Machine Learning based Compact MIMO Antenna Array for 38 GHz Millimeter Wave Application with Robust Isolation and High Efficiency Performance
MA Haque, MS Ahammed, S Socheatra, RA Ananta… - Results in …, 2025 - Elsevier
The performance of wireless 5G communication networks can be enhanced by combining
multiple-input multiple-output (MIMO) antennas with machine learning (ML). The suggested …
multiple-input multiple-output (MIMO) antennas with machine learning (ML). The suggested …
[HTML][HTML] Taguchi Method-Based Synthesis of a Circular Antenna Array for Enhanced IoT Applications
Linear antenna arrays exhibit radiation patterns that are restricted to a half-space and
feature axial radiation, which can be a significant drawback for applications that require …
feature axial radiation, which can be a significant drawback for applications that require …
Robust Near-field Circular Beamformer with Artificial Intelligence Based Side-lobe Reduction Technique
Efficiently scanning for space signals and accurately detecting them from noisy environment
is essential in space communication. Various unwanted interferences also present in space …
is essential in space communication. Various unwanted interferences also present in space …
An optimal linear and elliptical antenna array design using black widow optimisation for 5G communication
This research illustrates a precise linear and elliptical antenna array design for synthesising
the optimal far‐field radiation pattern in the fifth‐generation (5G) communication spectrum …
the optimal far‐field radiation pattern in the fifth‐generation (5G) communication spectrum …