The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …

Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …

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

Due to the lack of channel reciprocity in frequency division duplexity (FDD) massive multiple-
input multiple-output (MIMO) systems, it is impossible to infer the downlink channel state …

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 …

The great potentials of massive Multiple-Input Multiple-Output (MIMO) in Frequency Division
Duplex (FDD) mode can be fully exploited when the downlink Channel State Information …

Accurate channel state information (CSI) is essential for downlink precoding in frequency
division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems with …

In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems,
the growing number of base station antennas leads to prohibitive feedback overhead for …

Generally, the downlink channel state information (CSI) used for precoding is conveyed
back in massive multi-input multi-output (MIMO) systems with frequency division duplex …