[PDF] arxiv.org

Deep learning-based CSI feedback for beamforming in single-and multi-cell massive MIMO systems

J Guo, CK Wen, S Jin - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
The potentials of massive multiple-input multiple-output (MIMO) are all based on the
available instantaneous channel state information (CSI) at the base station (BS). Therefore …
被引用次数：80 相关文章 所有 3 个版本
[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：52 相关文章 所有 3 个版本

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] mmu.ac.uk

Compressive sampled CSI feedback method based on deep learning for FDD massive MIMO systems

J Wang, G Gui, T Ohtsuki, B Adebisi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …
被引用次数：60 相关文章 所有 6 个版本
[PDF] mmu.ac.uk

Downlink CSI feedback algorithm with deep transfer learning for FDD massive MIMO systems

J Zeng, J Sun, G Gui, B Adebisi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …
被引用次数：55 相关文章 所有 6 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：64 相关文章 所有 5 个版本
[PDF] ieee.org

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 …
被引用次数：132 相关文章 所有 4 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] ieee.org

Deep learning for CSI feedback based on superimposed coding

C Qing, B Cai, Q Yang, J Wang, C Huang - IEEE Access, 2019 - ieeexplore.ieee.org
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 …
被引用次数：55 相关文章 所有 6 个版本
[PDF] arxiv.org

Overview of deep learning-based CSI feedback in massive MIMO systems

J Guo, CK Wen, S Jin, GY Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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) …
被引用次数：91 相关文章 所有 3 个版本