Acquiring and utilizing accurate channel state information (CSI) can significantly improve
transmission performance, thereby holding a crucial role in realizing the potential …

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 …

Massive multiple-input multiple-output (MIMO) systems have been highlighted as a key
enabling technology for future communications networks. However, the efficacy of MIMO …

Massive multiple-input multiple-output (MIMO) systems require downlink channel state
information (CSI) at the base station (BS) to better utilize the available spatial diversity and …

In order to fully exploit the advantages of massive multiple-input multiple-output (mMIMO), it
is critical for the transmitter to accurately acquire the channel state information (CSI). Deep …

In frequency division duplex mode, the downlink channel state information (CSI) should be
sent to the base station through feedback links so that the potential gains of a massive …

Accurate channel state information (CSI) feedback plays a vital role in improving the
performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the …

The massive MIMO gain for wireless communication has been greatly hindered by the
feedback overhead of channel state information (CSI) growing linearly with the number of …

To fully exploit the advantages of massive multiple-input multiple-output (m-MIMO), accurate
channel state information (CSI) is required at the transmitter. However, excessive CSI …

Deep learning (DL) approaches have demonstrated high performance in compressing and
reconstructing the channel state information (CSI) and reducing the CSI feedback overhead …