The past decades have witnessed a lot of progress in gravitational lensing with two main
targets: stars and galaxies (with active galactic nuclei). The success is partially attributed to …

Machine learning (ML) algorithms have been widely used to improve the performance of
telecommunications systems, including reconfigurable intelligent surface (RIS)-assisted …

Accurate and effective channel state information (CSI) feedback is a key technology for
massive multiple-input and multiple-output systems. Recently, deep learning (DL) has been …

In massive multiple-input multiple-output (MIMO) systems under the frequency division
duplexing (FDD) mode, the user equipment (UE) needs to feed channel state information …

Accurate and effective channel state information (CSI) feedback is a key technology for
massive multiple-input and multiple-output (MIMO) systems. Recently, deep learning (DL) …

In this letter, we present a novel approach for denoising channel state information (CSI)
feedback in massive multiple-input multiple-output (MIMO) cellular networks. Our method …

Accurate channel state information (CSI) is essential for downlink precoding at the base
station (BS), especially for frequency FDD wideband massive MIMO systems with OFDM. In …

Recent studies have shown that Machine Learning (ML) techniques can be used to
compress Channel State Feedback (CSF) in order to reduce overhead; however, it is …

Artificial intelligence (AI) has shown great potential in channel state information (CSI)
feedback problems. However, the existing works focus on further improving the performance …