Overview of deep learning-based CSI feedback in massive MIMO systems
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
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 learning-based implicit CSI feedback in massive MIMO
Massive multiple-input multiple-output can obtain more performance gain by exploiting the
downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …
downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …
A lightweight deep network for efficient CSI feedback in massive MIMO systems
To fully exploit the advantages of massive multiple-input multiple-output (m-MIMO), accurate
channel state information (CSI) is required at the transmitter. However, excessive CSI …
channel state information (CSI) is required at the transmitter. However, excessive CSI …
Exploiting bi-directional channel reciprocity in deep learning for low rate massive MIMO CSI feedback
Z Liu, L Zhang, Z Ding - IEEE Wireless Communications Letters, 2019 - ieeexplore.ieee.org
Channel state information (CSI) feedback is important for multiple-input multiple-output
(MIMO) wireless systems to achieve their capacity gain in frequency division duplex mode …
(MIMO) wireless systems to achieve their capacity gain in frequency division duplex mode …
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 …
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 for CSI feedback based on superimposed coding
Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is
a promising approach to increasing system capacity and link robustness for the fifth …
a promising approach to increasing system capacity and link robustness for the fifth …
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 …
Compressive sampled CSI feedback method based on deep learning for FDD massive MIMO systems
Accurate downlink channel state information (CSI) is required to be fed back to the base
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …