Through combined antenna selecting and power management design, we examine the
effectiveness of multi-user multiple-antenna downlinks. A fraction of antennas are chosen to …

Machine Learning Algorithms (MLA) have revolutionized many eras in the recent past. MLA
has started to simplify the data world with its revolutionary methodologies. Use of MLA for …

We investigate the performance of multi-user multiple-antenna downlinks via joint antenna
selection and power control design. In order to fully exploit the spatial diversity while …

Next-generation wireless and mobile networks including 5G and 6G are expected to be
utilized in the industrial field for applications such as the remote control of vehicles/robots …

In this research, we investigate a low computational complexity user selection and a
precoder approach that, respectively, achieves spectral/energy transmission efficiency in the …

In this paper, we investigate the great potential of the combination of machine learning
technology and wireless communications. Currently, many researchers have proposed …

This paper proposes a deep neural network (DNN)-based approach for radiation pattern
synthesis of 8 elements phased array antenna. For this purpose, 181 points of a desired …

Development in implantable electronic devices have been made a considerable progress in
healthcare and biomedical technologies. Improving the healthcare quality by the possibility …

In recent years, artificial intelligence (AI) aided communications grabbed huge attention to
providing solutions for mathematical problems in wireless communications, by using …

Predictions in the field of machine learning (ML), also known as artificial intelligence (AI), are
used for forecasting a model that has been tested on an ancient database. The system then …