CCA-Net: A Lightweight Network Using Criss-Cross Attention for CSI Feedback
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 …
downlink channel state information (CSI) should be compressed and fed back to the base …
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 …
Distributed deep convolutional compression for massive MIMO CSI feedback
MB Mashhadi, Q Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems require downlink channel state
information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains …
information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains …
Deep CSI Compression for Dual-Polarized Massive MIMO Channels with Disentangled Representation Learning
Channel state information (CSI) feedback is critical for achieving the promised advantages
of enhancing spectral and energy efficiencies in massive multiple-input multiple-output …
of enhancing spectral and energy efficiencies in massive multiple-input multiple-output …
[PDF][PDF] Distributed deep convolutional compression for massive MIMO CSI feedback
Massive multiple-input multiple-output (MIMO) systems require downlink channel state
information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains …
information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains …
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 …
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 …
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 …
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 …
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 …