Exploiting bi-directional channel reciprocity in deep learning for low rate massive MIMO CSI feedback
Z Liu, L Zhang, Z Ding - IEEE Wireless Communications Letters, 2019 - ieeexplore.ieee.org
Channel state information (CSI) feedback is important for multiple-input multiple-output
(MIMO) wireless systems to achieve their capacity gain in frequency division duplex mode …
(MIMO) wireless systems to achieve their capacity gain in frequency division duplex mode …
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 …
Deep learning for CSI feedback based on superimposed coding
Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is
a promising approach to increasing system capacity and link robustness for the fifth …
a promising approach to increasing system capacity and link robustness for the fifth …
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 …
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 …
Overview of deep learning-based CSI feedback in massive 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) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
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 …
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 …
Downlink CSI feedback algorithm with deep transfer learning for FDD massive MIMO systems
In this paper, a channel state information (CSI) feedback method is proposed based on deep
transfer learning (DTL). The proposed method addresses the problem of high training cost of …
transfer learning (DTL). The proposed method addresses the problem of high training cost of …
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 …