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 …

Data-driven machine learning (ML) is promoted as one potential technology to be used in
next-generation wireless systems. This led to a large body of research work that applies ML …

A new deep neural network (NN) approach applied to antenna array adaptive beamforming
is presented in this article. A recurrent NN (RNN) based on the gated recurrent unit (GRU) …

In this research, a novel method of phased antenna array beamforming using a
convolutional neural network is presented. Given a desired 2-dimensional radiation pattern …

In the emerging 5G mobile computing environments, the need for cutting edge technologies
regarding data transmission, storage and processing will be more critical than ever. In …

The research and applications of radio direction‐finding technology based on machine
learning are reviewed. Detailed application scenarios are summarized with focus on the …

Array signal processing and systems brings merit for synthesizing the optimal radiation
pattern for steering the mainbeam in the direction of interest as well as suppressing …

With the popularity of wireless application environments, smart antenna technology has
completely changed the communication system. In order to improve the quality of wireless …

The series “Studies in Big Data”(SBD) publishes new developments and advances in the
various areas of Big Data-quickly and with a high quality. The intent is to cover the theory …

In this work we propose a method for the adaptive beam-forming of an antenna array using
Deep Learning. The proposed method is based on a deep Convolutional Neural Network …