Spherical normalization for learned compressive feedback in massive MIMO CSI acquisition
Z Liu, M del Rosario, X Liang… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems have been highlighted as a key
enabling technology for future communications networks. However, the efficacy of MIMO …
enabling technology for future communications networks. However, the efficacy of MIMO …
A Markovian model-driven deep learning framework for massive MIMO CSI feedback
Z Liu, M del Rosario, Z Ding - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Channel state information (CSI) plays a vital role in scheduling and capacity-approaching
transmission optimization of massive MIMO communication systems. In frequency division …
transmission optimization of massive MIMO communication systems. In frequency division …
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 …
Deep learning for massive MIMO CSI feedback
In frequency division duplex mode, the downlink channel state information (CSI) should be
sent to the base station through feedback links so that the potential gains of a massive …
sent to the base station through feedback links so that the potential gains of a massive …
A novel quantization method for deep learning-based massive MIMO CSI feedback
In massive multiple-input multiple-output (MIMO) systems, channel state information (CSI)
needs feeding back to the base station (BS) by user equipment (UE) to attain the potential …
needs feeding back to the base station (BS) by user equipment (UE) to attain the potential …
Fully convolutional neural network-based CSI limited feedback for FDD massive MIMO systems
Due to the lack of channel reciprocity in frequency division duplexity (FDD) massive multiple-
input multiple-output (MIMO) systems, it is impossible to infer the downlink channel state …
input multiple-output (MIMO) systems, it is impossible to infer the downlink channel state …
Joint sparse autoencoder based massive mimo csi feedback
In frequency division duplex (FDD) based massive multiple-input multiple-output (MIMO)
systems, the channel state information (CSI) feedback overhead could degrade spectrum …
systems, the channel state information (CSI) feedback overhead could degrade spectrum …
Deep convolutional compression for massive MIMO CSI feedback
Q Yang, MB Mashhadi… - 2019 IEEE 29th …, 2019 - 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 …
information (CSI) at the base station (BS) to better utilize the available spatial diversity and …
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 …
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …