AI enlightens wireless communication: Analyses, solutions and opportunities on CSI feedback

H Xiao, Z Wang, W Tian, X Liu, W Liu… - China …, 2021 - ieeexplore.ieee.org
In this paper, we give a systematic description of the 1st Wireless Communication Artificial
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …

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 …

AI for CSI feedback enhancement in 5G-Advanced

J Guo, CK Wen, S Jin, X Li - IEEE Wireless Communications, 2022 - ieeexplore.ieee.org
The 3rd Generation Partnership Project started the study of Release 18 in 2021. Artificial
intelligence (AI)-native air interface is one of the key features of Release 18, where AI for …

AI enabled wireless communications with real channel measurements: Channel feedback

J Guo, X Li, M Chen, P Jiang, T Yang… - Journal of …, 2020 - ieeexplore.ieee.org
Artificial intelligence (AI) has shown great potential in wireless communications. AI-
empowered communication algorithms have beaten many traditional algorithms through …

Knowledge-driven Meta-learning for CSI Feedback

H Xiao, W Tian, W Liu, J Guo, Z Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Accurate and effective channel state information (CSI) feedback is a key technology for
massive multiple-input and multiple-output systems. Recently, deep learning (DL) has been …

MixerNet: Deep learning for eigenvector-based CSI feedback

H Shen, L Zhao, F Wang, Y Cao - 2022 14th International …, 2022 - ieeexplore.ieee.org
Deep learning (DL) methods have been widely used for channel state information (CSI)
feedback to reduce the feedback overhead. CSI feedback mainly includes full CSI feedback …

Multi-Domain Correlation-aided Implicit CSI Feedback using Deep Learning

C Jiang, J Guo, CK Wen, S Jin - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Deep learning has been introduced to improve implicit channel state information (CSI)
feedback, and it significantly outperforms codebook-based feedback methods used in …

Changeable rate and novel quantization for CSI feedback based on deep learning

X Liang, H Chang, H Li, X Gu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep learning (DL)-based channel state information (CSI) feedback improves the capacity
and energy efficiency of massive multiple-input multiple-output (MIMO) systems in frequency …

Fully connected feedforward neural networks based CSI feedback algorithm

M Gao, T Liao, Y Lu - China Communications, 2021 - ieeexplore.ieee.org
In modern wireless communication systems, the accurate acquisition of channel state
information (CSI) is critical to the performance of beamforming, non-orthogonal multiple …

Towards Better Low-Rate Deep Learning-Based CSI Feedback: A Test Channel-Based Approach

X Liang, Z Jia, X Gu, L Zhang - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Deep learning (DL)-based channel state information (CSI) feedback provides satisfactory
reconstruction accuracy of downlink CSI for the base station in massive multiple-input …