SALDR: Joint self-attention learning and dense refine for massive MIMO CSI feedback with multiple compression ratio

X Song, J Wang, J Wang, G Gui… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
The advantages of massive multiple-input multiple-output (MIMO) techniques depend
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …
被引用次数：43 相关文章 所有 4 个版本
[PDF] huamingwu.cn

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 …
被引用次数：35 相关文章 所有 9 个版本
[PDF] ieee.org

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 …
被引用次数：69 相关文章 所有 4 个版本
[PDF] arxiv.org

Binary neural network aided CSI feedback in massive MIMO system

Z Lu, J Wang, J Song - IEEE Wireless Communications Letters, 2021 - ieeexplore.ieee.org
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 …
被引用次数：42 相关文章 所有 4 个版本
[PDF] arxiv.org

Lightweight convolutional neural networks for CSI feedback in massive MIMO

Z Cao, WT Shih, J Guo, CK Wen… - IEEE Communications …, 2021 - ieeexplore.ieee.org
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 …
被引用次数：63 相关文章 所有 5 个版本

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 …
被引用次数：32 相关文章
[PDF] arxiv.org

Deep learning-based implicit CSI feedback in massive MIMO

M Chen, J Guo, CK Wen, S Jin, GY Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …
被引用次数：50 相关文章 所有 3 个版本

CVLNet: A complex-valued lightweight network for CSI feedback

H Li, B Zhang, H Chang, X Liang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
The deep learning-based (DL-based) channel state information (CSI) feedback in the
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system …
被引用次数：15 相关文章
[PDF] arxiv.org

Deep learning-based CSI feedback approach for time-varying massive MIMO channels

T Wang, CK Wen, S Jin, GY Li - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …
被引用次数：369 相关文章 所有 5 个版本

A novel approach using convolutional transformer for massive MIMO CSI feedback

X Bi, S Li, C Yu, Y Zhang - IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
In frequency division duplex model, the massive multiple-input multiple-output (MIMO)
systems rely on feedback of channel state information (CSI) to perform precoding …
被引用次数：14 相关文章