AnciNet: An efficient deep learning approach for feedback compression of estimated CSI in massive MIMO systems
Accurate channel state information (CSI) feedback plays a vital role in improving the
performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the …
performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the …
Deep CSI compression for massive MIMO: A self-information model-driven neural network
In order to fully exploit the advantages of massive multiple-input multiple-output (mMIMO), it
is critical for the transmitter to accurately acquire the channel state information (CSI). Deep …
is critical for the transmitter to accurately acquire the channel state information (CSI). Deep …
A Scalable Deep Learning Framework for Dynamic CSI Feedback with Variable Antenna Port Numbers
Transmitter-side channel state information (CSI) is vital for large MIMO downlink systems to
achieve high spectrum and energy efficiency. Existing deep learning architectures for …
achieve high spectrum and energy efficiency. Existing deep learning architectures for …
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 …
MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems
Acquiring and utilizing accurate channel state information (CSI) can significantly improve
transmission performance, thereby holding a crucial role in realizing the potential …
transmission performance, thereby holding a crucial role in realizing the potential …
An efficient deep learning framework for low rate massive MIMO CSI reporting
Z Liu, L Zhang, Z Ding - IEEE Transactions on Communications, 2020 - ieeexplore.ieee.org
Channel state information (CSI) reporting is important for multiple-input multiple-output
(MIMO) wireless transceivers to achieve high capacity and energy efficiency in frequency …
(MIMO) wireless transceivers to achieve high capacity and energy efficiency in frequency …
Deep learning based CSI compression and quantization with high compression ratios in FDD massive MIMO systems
Y Zhang, X Zhang, Y Liu - IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
Generally, the downlink channel state information (CSI) used for precoding is conveyed
back in massive multi-input multi-output (MIMO) systems with frequency division duplex …
back in massive multi-input multi-output (MIMO) systems with frequency division duplex …
Downlink channel state information limited feedback using fully convolutional network
In massive multiple input multiple output (MIMO) systems, the base station (BS) requires
channel state information (CSI) to better utilize the available spatial diversity and …
channel state information (CSI) to better utilize the available spatial diversity and …
Digital twin aided massive MIMO: CSI compression and feedback
S Jiang, A Alkhateeb - arXiv preprint arXiv:2402.19434, 2024 - arxiv.org
Deep learning (DL) approaches have demonstrated high performance in compressing and
reconstructing the channel state information (CSI) and reducing the CSI feedback overhead …
reconstructing the channel state information (CSI) and reducing the CSI feedback overhead …
Massive MIMO CSI feedback based on generative adversarial network
Massive multiple-input multiple-output (M-MIMO) is one of the main 5G-enabling
technologies that promise to increase cell throughput and reduce multiuser interference …
technologies that promise to increase cell throughput and reduce multiuser interference …