The key principle of physical layer security (PLS) is to permit the secure transmission of
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …

This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …

Deep learning (DL) techniques have been intensively studied for the optimization of multi-
user multiple-input single-output (MU-MISO) downlink systems owing to the capability of …

In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency
division duplexing (FDD), channel acquisition and precoder optimization processes have …

Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …

This paper investigates quantum machine learning to optimize the beamforming in a
multiuser multiple-input single-output downlink system. We aim to combine the power of …

Using precoding to suppress multi-user interference is a well-known technique to improve
spectra efficiency in multiuser multiple-input multiple-output (MU-MIMO) systems, and the …

This letter proposes a learning aided gradient descent (LAGD) algorithm to solve the
weighted sum rate (WSR) maximization problem for multiple-input single-output (MISO) …

Optimizing precoding with deep learning enables its real-time implementation. In addition to
the learning perfor-mance such as sum rate, training complexity is also important since …

This paper studies the fast adaptive beamforming for the multiuser multiple-input single-
output downlink. Existing deep learning-based approaches assume that training and testing …