… [29] AM Nor and EM Mohamed, “Millimeter wave beamforming … -based millimeter wave
multi-level beamforming using … Esmaiel, “Adaptive locationbased millimetre wave beamforming …

… In this paper, a novel integrated machine learning and coordinated beamforming solution is
… a deep learning model that learns how to use these signatures to predict the beamforming …

… In this work, we propose a machine learning-based design methodology for multiple
beamforming architectures by mapping each HB architecture to a corresponding neural network. …

… beamforming approach in fifth-generation millimeter-wave … In this context, beamforming
is performed with the help of a … In parallel, a machine learning (ML) beamforming approach …

… In this paper, we propose a machine learning (ML) approach … ML approach reduces
beamforming related exploration time … for highly-mobile millimeter wave systems,” IEEE Access, …

… This article proposes a hybrid beamforming design with … based on unsupervised machine
learning framework that exploits … The proposed hybrid beamforming scheme reduces the multi…

… beamforming optimization of massive MIMO mmWave, we propose a hybrid beamforming …
with the robustness algorithm inspired by machine learning, which aims to optimize the hybrid …

… digital beamformers. In this paper, we further step to develop a more flexible and feasible
hybrid beamforming system that utilizes the machine learning … to different machine learning …

… machine learning method, perfect CSI is only required at the offline training phase to obtain
accurate beamformer … , and we just feed the learning network with noisy channel estimates [6]…

… millimeter wave (mmWave) massive multi-input multioutput system. Unlike the existing works
using machine learning (… transmission, the best analog beamforming vector for the uth user …