Recently, the autoencoder framework has shown great potential in reducing the feedback
overhead of the downlink channel state information (CSI). In this work, we further find that …

For frequency division duplex (FDD) systems, downlink channel state information (CSI)
feedback is essential. Deep learning-based auto-encoder (AE) structures have shown …

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 …

Deep learning (DL)-based channel state information (CSI) feedback improves the capacity
and energy efficiency of massive multiple-input multiple-output (MIMO) systems in frequency …

This paper is based on the background of the 2nd Wireless Communication Artificial
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …

Deep learning (DL) methods have been widely used for channel state information (CSI)
feedback to reduce the feedback overhead. CSI feedback mainly includes full CSI feedback …

Recently, deep learning based methods have been widely used for wireless
communications. In this letter, different from current researches considering full channel …

The increased throughput brought by MIMO technology relies on the knowledge of channel
state information (CSI) acquired in the base station (BS). To make the CSI feedback …

Transmitter-side channel state information (CSI) is vital for large MIMO downlink systems to
achieve high spectrum and energy efficiency. Existing deep learning architectures for …

Intelligent reflecting surfaces (IRS) consist of configurable meta-atoms, which can change
the wireless propagation environment through design of their reflection coefficients. We …