Overview of deep learning-based CSI feedback in massive MIMO systems

J Guo, CK Wen, S Jin, GY Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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) …

Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges

A Alhammadi, I Shayea, AA El-Saleh… - … Journal of Intelligent …, 2024 - Wiley Online Library
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …

Deep joint source-channel coding for semantic communications

J Xu, TY Tung, B Ai, W Chen, Y Sun… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Semantic communications is considered a promising technology that will increase the
efficiency of next-generation communication systems, particularly human-machine and …

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 …

Adaptive resource allocation for semantic communication networks

L Wang, W Wu, F Zhou, Z Yang, Z Qin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …

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 …

Deep joint source-channel coding for underwater image transmission

K Anjum, Z Qi, D Pompili - … of the 16th International Conference on …, 2022 - dl.acm.org
Traditional methods for coding underwater acoustic communications are bound to be
surpassed by methods optimizing for source-channel coding jointly. However, the …

Attention mechanism based intelligent channel feedback for mmWave massive MIMO systems

Y Zhang, J Sun, G Gui, Y Lin, H Gacanin, H Sari… - Peer-to-Peer Networking …, 2024 - Springer
The potential advantages of intelligent wireless communications with millimeter wave
(mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability …

Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems

Y Guo, W Chen, J Xu, L Li, B Ai - arXiv preprint arXiv:2404.16289, 2024 - arxiv.org
The design of precoding plays a crucial role in achieving a high downlink sum-rate in
multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing …

CSI-PPPNet: A One-Sided One-for-All Deep Learning Framework for Massive MIMO CSI Feedback

W Chen, W Wan, S Wang, P Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To reduce multiuser interference and maximize the spectrum efficiency in orthogonal
frequency division duplexing massive multiple-input multiple-output (MIMO) systems, the …