Adaptive Beamforming Method based Optimal Smart Antenna Selection with RSC Algorithm in 5G system

In the 5G based wireless communication system, the most of the applications are initiating the increase in bandwidth capacity and optimal selection of routing path to make the high speed of data transmission. The communication process can also be improving by detecting the direction of arrival which is to estimate for the smart antenna in 5G communication. For this most commonly the spectrum of the antenna parameters was classified and find the optimal solution for improving the Quality of Service. To enhance the spectrum analysis model, adaptive beamforming method was implemented to improve the performance of smart antenna propagation. The smart antenna can improve the coverage area by combining a greater number of uninterrupted connections in 5G network. In this propose work, the Recursive Spectral Classification (RSC) algorithm with the beamforming were used to classify and identify the best match of spectral pattern of the signal to monitor the directionality of the antenna signal radiation. This estimates the parameters such as antenna gain, radiation pattern, power density factor, etc. that are representing the design properties of array antenna. The simulation results show the performance result of proposed work by comparing the proposed model of adaptive beamforming method with other state-of-art methods.