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 …
Compressive sampled CSI feedback method based on deep learning for FDD massive MIMO systems
Accurate downlink channel state information (CSI) is required to be fed back to the base
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …
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 …
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 …
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 …
A learnable optimization and regularization approach to massive MIMO CSI feedback
Channel state information (CSI) plays a critical role in achieving the potential benefits of
massive multiple input multiple output (MIMO) systems. In frequency division duplex (FDD) …
massive multiple input multiple output (MIMO) systems. In frequency division duplex (FDD) …
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 …
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 …
Deep autoencoder based CSI feedback with feedback errors and feedback delay in FDD massive MIMO systems
In this letter, we study the channel state information (CSI) feedback based on the deep
autoencoder (AE) considering the feedback errors and feedback delay in the frequency …
autoencoder (AE) considering the feedback errors and feedback delay in the frequency …
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 …