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 …

In this paper, we give a systematic description of the 1st 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 …

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 has been introduced to improve implicit channel state information (CSI)
feedback, and it significantly outperforms codebook-based feedback methods used in …

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

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 …

In modern wireless communication systems, the accurate acquisition of channel state
information (CSI) is critical to the performance of beamforming, non-orthogonal multiple …

Deep learning (DL)-based channel state information (CSI) feedback provides satisfactory
reconstruction accuracy of downlink CSI for the base station in massive multiple-input …

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 …