Key points are not available for this paper at this time.
In the realm of wireless communication, smart antennas are widely employed to augment system capacity, mitigate interference, and function with little complexity. The utilization of deep learning algorithms is of paramount importance in the reduction of computational complexity inside smart antenna systems. Beamforming techniques are employed by these algorithms to enhance signal transmission and reception by increasing signal power in desired directions and decreasing it in undesired directions. There are several directional antenna array techniques that utilize deep learning alaorithms in order to enhance performance. This work investigates the utilization of deep learning in the field of wireless communications, with a specific emphasis on beamforming techniques employed in smart antenna system design.
Naji et al. (Mon,) studied this question.