… Machine learning input features The ML problems illustrated in this paper address beamselection …
on this input, a ML algorithm should estimate parameters of interest to beamselection. …

… joint machine learning based beam-user selection and low … aid of a machine learning based
beam-user selection scheme. … network (FFNN) beamuser selection scheme. The proposed …

… -based classification to identify the appropriate beam pair for mmWave vehicular … of an
efficient machine learning framework for mmWave vehicular beam selection leveraging situational …

… as a mobile alternative to increase accessibility in beam selection with a fifth-generation (5G…
3-Dimensional machine learning algorithm suitable for proper beam selection as is emitted …

… a machine learningbased vision-aided beam selection (ML-… addressing the beam selection
overhead with narrow beams in a … machine learning network for user and beam selection is …

… VUE to quickly select an effective analog beam. In this paper, we propose a machine
learning (ML) approach to achieve an efficient and fast analog beam selection for mmWave V2V …

… These machine learning techniques which confirm an enhanced prospective in the learning
… During this study, we consider machine learning from the perspective of medical data …

… sweeping complexity by 4x for AP selection and by 10x for beam selection in our simulation
scenario. It does not require large training datasets and we demonstrate that robustness …

… and machine learning-based analog beam selection schemes … to perform data-based analog
beam selection; and (ii) such … To perform beam selection, we resort to a number of ML/DL …

… In this section, the machine learning based beam selection schemes are presented to settle
… SVM based beam selection method and our proposed RFC based beam selection method …