[PDF][PDF] Prospective beamforming technologies for ultra-massive MIMO in terahertz communications: A tutorial

B Ning, Z Tian, Z Chen, C Han, J Yuan… - arxiv preprint arxiv …, 2021 - researchgate.net
Terahertz (THz) communications with a frequency band 0.1− 10 THz are envisioned as a
promising solution to future high-speed wireless communication. Although with tens of …

Acquisition of channel state information for mmWave massive MIMO: Traditional and machine learning-based approaches

C Qi, P Dong, W Ma, H Zhang, Z Zhang… - Science China Information …, 2021 - Springer
The accuracy of channel state information (CSI) acquisition directly affects the performance
of millimeter wave (mmWave) communications. In this article, we provide an overview on …

Beamforming technologies for ultra-massive MIMO in terahertz communications

B Ning, Z Tian, W Mei, Z Chen, C Han… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Terahertz (THz) communications with a frequency band 0.1–10 THz are envisioned as a
promising solution to future high-speed wireless communication. Although with tens of …

Deep learning assisted calibrated beam training for millimeter-wave communication systems

K Ma, D He, H Sun, Z Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Huge overhead of beam training imposes a significant challenge in millimeter-wave
(mmWave) wireless communications. To address this issue, in this paper, we propose a …

Beam training and tracking in mmwave communication: A survey

W Yi, W Zhiqing, F Zhiyong - China Communications, 2024 - ieeexplore.ieee.org
Communicating on millimeter wave (mmWave) bands is ushering in a new epoch of mobile
communication which provides the availability of 10 Gbps high data rate transmission …

Near-field multiuser beam-training for extremely large-scale MIMO systems

W Liu, C Pan, H Ren, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Extremely large-scale multiple-input multiple-output (XL-MIMO) systems are capable of
improving spectral efficiency by employing far more antennas than conventional massive …

Neural networks based beam codebooks: Learning mmWave massive MIMO beams that adapt to deployment and hardware

M Alrabeiah, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Millimeter wave (mmWave) and massive MIMO systems are intrinsic components of 5G and
beyond. These systems rely on using beamforming codebooks for both initial access and …

Joint beam training and data transmission design for covert millimeter-wave communication

J Zhang, M Li, S Yan, C Liu, X Chen… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Covert communication prevents legitimate transmission from being detected by a warden
while maintaining certain covert rate at the intended user. Prior works have considered the …

Triple-refined hybrid-field beam training for mmWave extremely large-scale MIMO

K Chen, C Qi, OA Dobre, GY Li - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper investigates beam training for extremely large-scale multiple-input multiple-
output systems. By considering both the near field and far field, a triple-refined hybrid-field …

Robust joint hybrid analog-digital transceiver design for full-duplex mmWave multicell systems

MM Zhao, Y Cai, MJ Zhao, Y Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this work, we investigate a full-duplex (FD) millimeter wave (mmWave) multicell system,
where the BS of each cell receives signals from uplink (UL) users and transmits signals to …