Dual-Propagation-Feature Fusion Enhanced Neural CSI Compression for Massive MIMO
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 …
recently applied to channel state information (CSI) compression feedback in massive …
Deep CSI compression for massive MIMO: A self-information model-driven neural network
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 …
is critical for the transmitter to accurately acquire the channel state information (CSI). Deep …
Deep learning based CSI compression and quantization with high compression ratios in FDD massive MIMO systems
Y Zhang, X Zhang, Y Liu - IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
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 …
back in massive multi-input multi-output (MIMO) systems with frequency division duplex …
MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems
Acquiring and utilizing accurate channel state information (CSI) can significantly improve
transmission performance, thereby holding a crucial role in realizing the potential …
transmission performance, thereby holding a crucial role in realizing the potential …
DS-NLCsiNet: Exploiting non-local neural networks for massive MIMO CSI feedback
X Yu, X Li, H Wu, Y Bai - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
Channel state information (CSI) feedback plays an important part in frequency division
duplex (FDD) massive multiple-input multiple-output (MIMO) systems. However, it is still …
duplex (FDD) massive multiple-input multiple-output (MIMO) systems. However, it is still …
ACCsiNet: Asymmetric convolution-based autoencoder framework for massive MIMO CSI feedback
B Cao, Y Yang, P Ran, D He… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Channel state information (CSI) is a critical part for massive multiple-input multiple-output
(MIMO) system. However, it is a big challenge to send a large amount of CSI from the …
(MIMO) system. However, it is a big challenge to send a large amount of CSI from the …
Deep convolutional compression for massive MIMO CSI feedback
Q Yang, MB Mashhadi… - 2019 IEEE 29th …, 2019 - ieeexplore.ieee.org
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 …
information (CSI) at the base station (BS) to better utilize the available spatial diversity and …
AnciNet: An efficient deep learning approach for feedback compression of estimated CSI in massive MIMO systems
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 …
performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the …
A novel CSI feedback approach for massive MIMO using LSTM-attention CNN
In this paper, a novel mechanism is studied to improve the performance of the channel state
information (CSI) feedback in massive multiple-input multiple-output (MIMO) systems. The …
information (CSI) feedback in massive multiple-input multiple-output (MIMO) systems. The …
Dilated convolution based CSI feedback compression for massive MIMO systems
Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO)
system can offer high spectral and energy efficiency, it requires to feedback the downlink …
system can offer high spectral and energy efficiency, it requires to feedback the downlink …