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 …
Deep learning and compressive sensing-based CSI feedback in FDD massive MIMO systems
To fully utilize multiplexing and array gains of massive multiple-input multiple-output (MIMO),
the downlink channel state information (CSI) must be acquired at the base station (BS). In …
the downlink channel state information (CSI) must be acquired at the base station (BS). In …
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 …
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 …
MRFNet: A deep learning-based CSI feedback approach of massive MIMO systems
Z Hu, J Guo, G Liu, H Zheng… - IEEE Communications …, 2021 - ieeexplore.ieee.org
In frequency division duplex (FDD) networks, channel state information (CSI) is critical for
massive multiple-input multiple-output (MIMO) systems, because the base station (BS) relies …
massive multiple-input multiple-output (MIMO) systems, because the base station (BS) relies …
SALDR: Joint self-attention learning and dense refine for massive MIMO CSI feedback with multiple compression ratio
The advantages of massive multiple-input multiple-output (MIMO) techniques depend
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …
Distributed deep convolutional compression for massive MIMO CSI feedback
MB Mashhadi, Q Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems require downlink channel state
information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains …
information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains …
Deep learning-based CSI feedback approach for time-varying massive MIMO channels
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …
(CSI) feedback to perform precoding and achieve performance gain in frequency division …
Binary neural network aided CSI feedback in massive MIMO system
In massive multiple-input multiple-output (MIMO) system, channel state information (CSI) is
essential for the base station (BS) to achieve high performance gain. The CSI matrix needs …
essential for the base station (BS) to achieve high performance gain. The CSI matrix needs …
Deep learning for massive MIMO CSI feedback
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 …
sent to the base station through feedback links so that the potential gains of a massive …