Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

The key objective of this paper is to explore the recent state-of-the-art artificial intelligence
(AI) applications on the broad field of beamforming. Hence, a multitude of AI-oriented …

This paper provides a review of user selection algorithms for massive multiple-input multiple-
output (MIMO) systems under the line-of-sight (LoS) propagation model. Although the LoS …

In line-of-sight (LOS) massive MIMO, there is a nonnegligible probability that the channel
vectors of some users become correlated. In these correlated scenarios, nonlinear …

The implementation of antenna array beamforming using several neural network (NN)
architectures is compared in this paper. Gated recurrent unit, feed-forward NN, convolutional …

In line-of-sight massive MIMO, there are use cases where the channel vectors of some users
become highly correlated. Highly correlated users lead to a large reduction in the sum-rate …

Digital beamforming (DBF) is a crucial technology for large antenna arrays, offering precise
control over beam steering. This research introduces a novel method to enhance millimeter …

Massive multiple-input multiple-output (MIMO) is seen as a key enabler for nextgeneration
wireless communication systems, being capable of delivering very high throughput and …

Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

Massive multiple-input-multiple-output (MIMO) technology plays a crucial role in the fifth-
generation (5G) of cellular communication systems. One of the key properties exploited in …