Reconfigurable intelligent surface (RIS) is regarded as an important enabling technology for
the sixth-generation (6G) network. Recently, modulating information in reflection patterns of …

Reconfigurable intelligent surface (RIS), composed of nearly passive elements, is regarded
as one of the potential paradigms to support multi-gigabit data in real-time. However, in …

Due to the ability of feature extraction, deep learning (DL)-based methods have been
recently applied to channel state information (CSI) compression feedback in massive …

It is supposed that ultra-reliable low latency communication (uRLLC) would continue to
evolve in the future sixth generation (6G) network, to provide enhanced capability towards …

Deep learning (DL)-based channel state information (CSI) feedback methods compressed
the CSI matrix by exploiting its delay and angle features straightforwardly, while the measure …

Channel state information (CSI) feedback is critical for achieving the promised advantages
of enhancing spectral and energy efficiencies in massive multiple-input multiple-output …

Cell-free communication has the potential to significantly improve grant-free transmission in
massive machine-type communication, wherein multiple access points jointly serve a large …

In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted multiple-input
multiple-output communication system with multiple antennas at both the base station (BS) …

With the advent of the new era of 6G, new applications of smart factories and intelligent
transportation systems based on real-time wireless sensing technology will confront great …

In this paper, a new semi-supervised deep multiple-input multiple-output (MIMO) detection
approach using a cycle-consistent generative adversarial network (CycleGAN) is proposed …