Deep learning-based rate-splitting multiple access for massive MIMO-OFDM systems with imperfect CSIT

M Wu, Z Wan, Y Wang, S Liu… - … Symposium on Wireless …, 2022 - ieeexplore.ieee.org
Due to the high dimensionality of the channel state information (CSI) in massive multiple-
input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems …
被引用次数：4 相关文章

Data-Driven Deep Learning-Based Rate-Splitting Multiple Access for FDD Massive MIMO-OFDM Systems with Implicit CSI

M Wu, Z Gao, C Hu, Z Li - 2023 IEEE 24th International …, 2023 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing
(OFDM) systems, the acquisition of accurate channel state information (CSI) and the …
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[PDF] arxiv.org

Data-driven deep learning based hybrid beamforming for aerial massive MIMO-OFDM systems with implicit CSI

Z Gao, M Wu, C Hu, F Gao, G Wen… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In an aerial hybrid massive multiple-input multiple-output (MIMO) and orthogonal frequency
division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi …
被引用次数：35 相关文章 所有 3 个版本
[PDF] arxiv.org

Splitting Messages in the Dark-Rate-Splitting Multiple Access for FDD Massive MIMO Without CSI Feedback

N Kim, J Park - arXiv preprint arXiv:2405.00979, 2024 - arxiv.org
A critical hindrance to realize frequency division duplex (FDD) massive multi-input multi-
output (MIMO) systems is overhead associated with downlink channel state information at …
相关文章 所有 2 个版本
[PDF] arxiv.org

Unsupervised deep learning for massive MIMO hybrid beamforming

H Hojatian, J Nadal, JF Frigon… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Hybrid beamforming is a promising technique to reduce the complexity and cost of massive
multiple-input multiple-output (MIMO) systems while providing high data rate. However, the …
被引用次数：78 相关文章 所有 7 个版本
[PDF] arxiv.org

Deep Learning for Joint Design of Pilot, Channel Feedback, and Hybrid Beamforming in FDD Massive MIMO-OFDM Systems

J Yang, W Zhu, S Sun, X Li, X Lin… - IEEE Communications …, 2023 - ieeexplore.ieee.org
This letter considers the transceiver design in frequency division duplex (FDD) massive
multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) …
相关文章 所有 3 个版本
[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：83 相关文章 所有 3 个版本
[PDF] ieee.org

Combined DL-UL Distributed Beamforming Design for Cell-Free Massive MIMO

B Gouda, A Arvola, I Atzeni - IEEE Wireless Communications …, 2024 - ieeexplore.ieee.org
We consider a cell-free massive multiple-input multiple-output system with multi-antenna
access points (APs) and user equipments (UEs), where the UEs can be served in both the …
被引用次数：1 相关文章 所有 4 个版本

Joint Learning of Channel Estimation and Beamforming for Cell-Free Massive MIMO Systems

Y Chen, W Xia, J Zhang, Y Zhu - IEEE Wireless …, 2024 - ieeexplore.ieee.org
In cell-free massive multiple-input multiple-output (MIMO) systems, beamforming is a crucial
technique to enhance system performance. Nevertheless, practical challenges arise in …
被引用次数：1 相关文章
[PDF] arxiv.org

Towards Efficient Subarray Hybrid Beamforming: Attention Network-based Practical Feedback in FDD Massive MU-MIMO Systems

Z Lu, X Zhang, R Zeng, J Wang - arXiv preprint arXiv:2302.02401, 2023 - arxiv.org
Channel state information (CSI) feedback is necessary for the frequency division duplexing
(FDD) multiple input multiple output (MIMO) systems due to the channel non-reciprocity. With …
被引用次数：1 相关文章 所有 2 个版本