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 …

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 …

Channel estimation for reconfigurable intelligent surface aided MISO communications: From LMMSE to deep learning solutions

NK Kundu, MR McKay - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
We consider multi-antenna wireless systems aided by reconfigurable intelligent surfaces
(RIS). RIS presents a new physical layer technology for improving coverage and energy …

Model-driven deep learning based channel estimation and feedback for millimeter-wave massive hybrid MIMO systems

X Ma, Z Gao, F Gao, M Di Renzo - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
This paper proposes a model-driven deep learning (MDDL)-based channel estimation and
feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input …

Cell-free massive MIMO for 6G wireless communication networks

H He, X Yu, J Zhang, S Song… - … of Communications and …, 2021 - ieeexplore.ieee.org
The recently commercialized fifth-generation (5G) wireless networks have achieved many
improvements, including air interface enhancement, spectrum expansion, and network …

Deep learning for massive MIMO uplink detectors

MA Albreem, AH Alhabbash… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

DeepRx: Fully convolutional deep learning receiver

M Honkala, D Korpi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep learning has solved many problems that are out of reach of heuristic algorithms. It has
also been successfully applied in wireless communications, even though the current radio …

[PDF][PDF] Deep Learning Based End-to-End Wireless Communication Systems Without Pilots.

H Ye, GY Li, BH Juang - IEEE Trans. Cogn. Commun. Netw., 2021 - ieeexplore.ieee.org
The recent development in machine learning, especially in deep neural networks (DNN),
has enabled learning-based end-to-end communication systems, where DNNs are …

Dual CNN-based channel estimation for MIMO-OFDM systems

P Jiang, CK Wen, S Jin, GY Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, convolutional neural network (CNN)-based channel estimation (CE) for massive
multiple-input multiple-output communication systems has achieved remarkable success …