Antenna Selection in 5G Communication Networks Using the Improved Grey Wolf Optimizer Algorithm

Determining the direction of arrival, which requires the estimate of smart antenna properties, is one way to improve communication performance. Data has already been sorted using spectral classification to determine the best course of action for improving service quality. This research work proposes an alternative approach called Improved Grey Wolf Optimizer (I-GWO) to enhance the spectrum analysis model for choosing the optimum antenna and determining the direction of arrival (DOA) route in 5G communication systems. The antenna signal emission direction is tracked, and its properties are calculated using the I-GWO approach. The proposed model examines the radiation pattern and effectiveness of antenna beam to strengthen the signal and reduce noise (SNR). In comparison to earlier techniques, the I-GWO algorithm speeds up searching and improves the Signal-to-Interference-plus-Noise Ratio (SINR) value with each iteration of the snapshot. Using intelligent directional signal processing in 5G communication systems, the existing methodologies are analyzed to provide an algorithm and methodology, offer the results and analysis, and carry out a comparison study. The I-GWO method aids in the development of more effective and efficient 5G communication systems while enhancing signal quality.