CVLNet: A complex-valued lightweight network for CSI feedback
The deep learning-based (DL-based) channel state information (CSI) feedback in the
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system …
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system …
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 …
duplex (FDD) massive multiple-input multiple-output (MIMO) systems. However, it is still …
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 …
A novel compression CSI feedback based on deep learning for FDD massive MIMO systems
Accurate channel state information (CSI) is necessary for frequency-division duplexing
(FDD) massive multi-input multi-output (MIMO) systems. Existing deep learning-based CSI …
(FDD) massive multi-input multi-output (MIMO) systems. Existing deep learning-based CSI …
Deep decoder CsiNet for FDD massive MIMO system
In order to achieve a higher gain in frequency division duplex (FDD) massive multiple-input
multiple-output (MIMO) system, it is imperative to feedback downlink channel state …
multiple-output (MIMO) system, it is imperative to feedback downlink channel state …
Better lightweight network for free: Codeword mimic learning for massive MIMO CSI feedback
The channel state information (CSI) needs to be fed back from the user equipment (UE) to
the base station (BS) in frequency division duplexing (FDD) multiple-input multiple-output …
the base station (BS) in frequency division duplexing (FDD) multiple-input multiple-output …
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 …
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 …
state information (CSI) feedback algorithms for frequency-division duplexing (FDD) massive …
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 …
Multi-rate compression for downlink CSI based on transfer learning in FDD massive MIMO systems
Y Wang, J Sun, J Wang, J Yang… - 2021 IEEE 94th …, 2021 - ieeexplore.ieee.org
Accurate downlink channel state information (CSI) is one of the essential requirements for
harnessing the potential advantages of frequency-division duplexing (FDD) massive multi …
harnessing the potential advantages of frequency-division duplexing (FDD) massive multi …