Binarized aggregated network with quantization: Flexible deep learning deployment for CSI feedback in massive MIMO systems
Massive multiple-input multiple-output (MIMO) is one of the key techniques to achieve better
spectrum and energy efficiency in 5G system. The channel state information (CSI) needs to …
spectrum and energy efficiency in 5G system. The channel state information (CSI) needs to …
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 …
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 …
massive multiple-input multiple-output (MIMO) systems, because the base station (BS) relies …
Binary neural network aided CSI feedback in massive MIMO system
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 …
essential for the base station (BS) to achieve high performance gain. The CSI matrix needs …
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 …
Deep learning-based CSI feedback approach for time-varying massive MIMO channels
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …
(CSI) feedback to perform precoding and achieve performance gain in frequency division …
DFECsiNet: Exploiting diverse channel features for massive MIMO CSI feedback
Y Xu, M Zhao, S Zhang, H Jin - 2021 13th International …, 2021 - ieeexplore.ieee.org
To enhance the performance of a massive multiple-input multiple-output (MIMO) system,
downlink channel state information (CSI) should be fed back to the base station (BS) in …
downlink channel state information (CSI) should be fed back to the base station (BS) in …
Multi-resolution CSI feedback with deep learning in massive MIMO system
In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to
send downlink channel state information (CSI) back to base station (BS). However, the …
send downlink channel state information (CSI) back to base station (BS). However, the …
CLNet: Complex input lightweight neural network designed for massive MIMO CSI feedback
The Massive Multiple Input Multiple Output (MIMO) system is a core technology of the next
generation communication. With the growing complexity of CSI, CSI feedback in massive …
generation communication. With the growing complexity of CSI, CSI feedback in massive …
Multi-task training approach for CSI feedback in massive MIMO systems
Deep learning has been widely applied for the channel state information (CSI) feedback in
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …