A survey of blockchain and artificial intelligence for 6G wireless communications

Y Zuo, J Guo, N Gao, Y Zhu, S **… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

A survey of beam management for mmWave and THz communications towards 6G

Q Xue, C Ji, S Ma, J Guo, Y Xu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …

AI empowered wireless communications: From bits to semantics

Z Qin, L Liang, Z Wang, S **, X Tao… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) have shown tremendous potential in
resha** the landscape of wireless communications and are, therefore, widely expected to …

Lightweight automatic modulation classification via progressive differentiable architecture search

X Zhang, X Chen, Y Wang, G Gui… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …

Joint spatio-temporal precoding for practical non-stationary wireless channels

Z Zou, M Careem, A Dutta… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The high mobility, density and multi-path evident in modern wireless systems makes the
channel highly non-stationary. This causes temporal variation in the channel distribution that …

SCAN: Semantic communication with adaptive channel feedback

G Zhang, Q Hu, Y Cai, G Yu - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
In existing semantic communication systems for image transmission, some images are
generally reconstructed with considerably low quality. As a result, the reliable transmission …

AI for CSI feedback enhancement in 5G-advanced

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

Deep learning-based CSI feedback and cooperative recovery in massive MIMO

J Guo, X Yang, CK Wen, S **, GY Li - arxiv preprint arxiv:2003.03303, 2020 - arxiv.org
In this paper, the correlation between nearby user equipment (UE) is exploited, and a deep
learning-based channel state information (CSI) feedback and cooperative recovery …

CSI-GPT: Integrating generative pre-trained transformer with federated-tuning to acquire downlink massive MIMO channels

Y Zeng, L Qiao, Z Gao, T Qin, Z Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) systems, how to reliably acquire downlink
channel state information (CSI) with low overhead is challenging. In this work, by integrating …

Learning-based Integrated CSI Feedback and Localization in Massive MIMO

J Guo, Y Lv, CK Wen, X Li, S ** - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Most learning-based channel state information (CSI) feedback efforts concentrate on
enhancing feedback accuracy through innovative neural network (NN) designs and …