Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts

X You, CX Wang, J Huang, X Gao, Z Zhang… - Science China …, 2021 - Springer
The fifth generation (5G) wireless communication networks are being deployed worldwide
from 2020 and more capabilities are in the process of being standardized, such as mass …

A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

Wireless semantic communications for video conferencing

P Jiang, CK Wen, S Jin, GY Li - IEEE Journal on Selected Areas …, 2022 - ieeexplore.ieee.org
Video conferencing has become a popular mode of meeting despite consuming
considerable communication resources. Conventional video compression causes resolution …

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) …

Wireless networks design in the era of deep learning: Model-based, AI-based, or both?

A Zappone, M Di Renzo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper deals with the use of emerging deep learning techniques in future wireless
communication networks. It will be shown that the data-driven approaches should not …

Terahertz wireless communications for 2030 and beyond: A cutting-edge frontier

Z Chen, C Han, Y Wu, L Li, C Huang… - IEEE …, 2021 - ieeexplore.ieee.org
For 6G in 2030 and beyond, key performance metrics long for terabit-per-second, one-tenth
of millisecond latency with zero jitter, millimeter-preci-sion sensing and positioning, and …

Deep learning in physical layer communications

Z Qin, H Ye, GY Li, BHF Juang - IEEE Wireless …, 2019 - ieeexplore.ieee.org
DL has shown great potential to revolutionize communication systems. This article provides
an overview of the recent advancements in DL-based physical layer communications. DL …

6G Visions: Mobile ultra-broadband, super internet-of-things, and artificial intelligence

L Zhang, YC Liang, D Niyato - China Communications, 2019 - ieeexplore.ieee.org
With a ten-year horizon from concept to reality, it is time now to start thinking about what will
the sixth-generation (6G) mobile communications be on the eve of the fifth-generation (5G) …

Model-driven deep learning for MIMO detection

H He, CK Wen, S Jin, GY Li - IEEE Transactions on Signal …, 2020 - ieeexplore.ieee.org
In this paper, we investigate the model-driven deep learning (DL) for MIMO detection. In
particular, the MIMO detector is specially designed by unfolding an iterative algorithm and …

Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …