Lightweight convolutional neural networks for CSI feedback in massive MIMO
In frequency division duplex mode of massive multiple-input multiple-output systems, the
downlink channel state information (CSI) must be sent to the base station (BS) through a …
downlink channel state information (CSI) must be sent to the base station (BS) through a …
Deep learning-based implicit CSI feedback in massive MIMO
Massive multiple-input multiple-output can obtain more performance gain by exploiting the
downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …
downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …
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 …
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 …
[HTML][HTML] Deep learning for joint channel estimation and feedback in massive MIMO systems
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 …
Duplex (FDD) mode can be fully exploited when the downlink Channel State Information …
Fully convolutional neural network-based CSI limited feedback for FDD massive MIMO systems
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 …
input multiple-output (MIMO) systems, it is impossible to infer the downlink channel state …
CSI feedback based on deep learning for massive MIMO systems
Y Liao, H Yao, Y Hua, C Li - IEEE Access, 2019 - ieeexplore.ieee.org
Aiming at the problem of high complexity and low feedback accuracy of existing channel
state information (CSI) feedback algorithms for frequency-division duplexing (FDD) massive …
state information (CSI) feedback algorithms for frequency-division duplexing (FDD) massive …
Multi-resolution CSI feedback with deep learning in massive MIMO system
In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to
send downlink channel state information (CSI) back to base station (BS). However, the …
send downlink channel state information (CSI) back to base station (BS). However, the …
CSI feedback with model-driven deep learning of massive MIMO systems
J Guo, L Wang, F Li, J Xue - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
In order to achieve reliable communication with a high data rate of massive multiple-input
multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated …
multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated …
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 …