Viewing the MIMO channel as sequence rather than image: A Seq2Seq approach for efficient CSI feedback

Z Chen, Z Zhang, Z Xiao - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
In a massive multiple-input multiple-output (MIMO) system, channel state information (CSI) is
essential for the base station (BS) to achieve high performance gain. The user equipment …

Asymmetric PoolCsiNet with Parameter-free Encoder at UE for CSI Feedback

Z Xie, J Xu, W Xu, X You, DWK Ng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deep learning (DL) has been increasingly adopted for channel state information (CSI)
feedback to harness the performance gains promised by massive multiple-input multiple …

Cca-net: A lightweight network using criss-cross attention for csi feedback

B Wang, Y Teng, V Lau, Z Han - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
To enhance the performance of a massive multiple-input multiple-output (MIMO) system, the
downlink channel state information (CSI) should be compressed and fed back to the base …

Deep joint source-channel coding for CSI feedback: An end-to-end approach

J Xu, B Ai, N Wang, W Chen - IEEE Journal on Selected Areas …, 2022 - ieeexplore.ieee.org
The increased throughput brought by MIMO technology relies on the knowledge of channel
state information (CSI) acquired in the base station (BS). To make the CSI feedback …

Better lightweight network for free: Codeword mimic learning for massive MIMO CSI feedback

Z Lu, X Zhang, R Zeng, J Wang - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
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 …

Variable Code Size Autoencoder (VCSA) Meets CSI Compression in Model Generalization

Y Song, J Roa, R Zhao, Z Rong, W Xiao… - 2024 International …, 2024 - ieeexplore.ieee.org
To fully exploit the advantages of spatial multiplexing gains in Multiple-Input Multiple-Output
(MIMO) systems operating in Frequency Division Duplex (FDD) mode, it is crucial to develop …

MIMO channel information feedback using deep recurrent network

C Lu, W Xu, H Shen, J Zhu… - IEEE Communications …, 2018 - ieeexplore.ieee.org
In a multiple-input multiple-output (MIMO) system, the availability of channel state
information (CSI) at the transmitter is essential for performance improvement. Recent …

CNN-based analog CSI feedback in FDD MIMO-OFDM systems

MB Mashhadi, Q Yang… - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems require downlink channel state
information (CSI) at the base station (BS) to better utilize the available spatial diversity and …

CVLNet: A complex-valued lightweight network for CSI feedback

H Li, B Zhang, H Chang, X Liang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
The deep learning-based (DL-based) channel state information (CSI) feedback in the
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system …

Spatio-temporal representation with deep neural recurrent network in MIMO CSI feedback

X Li, H Wu - IEEE Wireless Communications Letters, 2020 - ieeexplore.ieee.org
In multiple-input multiple-output (MIMO) systems, it is crucial of utilizing the available
channel state information (CSI) at the transmitter for precoding to improve the performance …