Enhancing Adaptive Beamforming in 3-D Space Through Self-Improving Neural Network Techniques
In the rapidly evolving domain handcuff key of wireless networks, adaptive beamforming stands as a cornerstone for achieving higher data rates, enhanced network capacity, and reduced latency.This study introduces a novel integration of deep neural networks (NNs) into adaptive beamforming, specifically for uniform planar arrays (UPAs).We embark on a