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 …
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 …
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 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 …
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 and compressive sensing-based CSI feedback in FDD massive MIMO systems
To fully utilize multiplexing and array gains of massive multiple-input multiple-output (MIMO),
the downlink channel state information (CSI) must be acquired at the base station (BS). In …
the downlink channel state information (CSI) must be acquired at the base station (BS). In …
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 …
Attention model for massive MIMO CSI compression feedback and recovery
Q Cai, C Dong, K Niu - 2019 IEEE Wireless Communications …, 2019 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) scenario, in order to adapt to channel
features and ensure the high-reliability and high-rate of communication, the channel state …
features and ensure the high-reliability and high-rate of communication, the channel state …
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 …
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 …