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) …
ChannelGAN: Deep learning-based channel modeling and generating
H Xiao, W Tian, W Liu, J Shen - IEEE Wireless …, 2022 - ieeexplore.ieee.org
The increasing complexity on channel modeling and the cost on collecting plenty of high-
quality wireless channel data have become the main bottlenecks of developing deep …
quality wireless channel data have become the main bottlenecks of developing deep …
Deep regularized waveform learning for beam prediction with limited samples in non-cooperative mmWave systems
Millimeter wave (mmWave) systems need beam management to establish and maintain
reliable links. This complex and time-consuming process seriously affects communication …
reliable links. This complex and time-consuming process seriously affects communication …
User-centric online gossip training for autoencoder-based CSI feedback
Recently, the autoencoder framework has shown great potential in reducing the feedback
overhead of the downlink channel state information (CSI). In this work, we further find that …
overhead of the downlink channel state information (CSI). In this work, we further find that …
EVCsiNet: Eigenvector-based CSI feedback under 3GPP link-level channels
W Liu, W Tian, H Xiao, S Jin, X Liu… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Recently, deep learning based methods have been widely used for wireless
communications. In this letter, different from current researches considering full channel …
communications. In this letter, different from current researches considering full channel …
AI enlightens wireless communication: A transformer backbone for CSI feedback
X Han, W Zhiqin, L Dexin, T Wenqiang… - China …, 2024 - ieeexplore.ieee.org
This paper is based on the background of the 2nd Wireless Communication Artificial
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …
A novel approach using convolutional transformer for massive MIMO CSI feedback
In frequency division duplex model, the massive multiple-input multiple-output (MIMO)
systems rely on feedback of channel state information (CSI) to perform precoding …
systems rely on feedback of channel state information (CSI) to perform precoding …
Multi-task learning-based CSI feedback design in multiple scenarios
For frequency division duplex (FDD) systems, downlink channel state information (CSI)
feedback is essential. Deep learning-based auto-encoder (AE) structures have shown …
feedback is essential. Deep learning-based auto-encoder (AE) structures have shown …
Data augmentation aided few-shot learning for specific emitter identification
Specific emitter identification (SEI) extracts the fingerprint characteristics of emitters
according to the subtle differences of transmitted signals, to distinguish different emitter …
according to the subtle differences of transmitted signals, to distinguish different emitter …
A knowledge-driven meta-learning method for CSI feedback
H Xiao, W Tian, W Liu, Z Zhang, Z Shi… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Accurate and effective channel state information (CSI) feedback is a key technology for
massive multiple-input and multiple-output (MIMO) systems. Recently, deep learning (DL) …
massive multiple-input and multiple-output (MIMO) systems. Recently, deep learning (DL) …