Deep learning based beam training for extremely large-scale massive MIMO in near-field domain

W Liu, H Ren, C Pan, J Wang - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
Extremely large-scale massive multiple-input-multiple-output (XL-MIMO) is regarded as a
promising technology for next-generation communication systems. In order to enhance the …

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 …

Hybrid beamforming with relay and dual-base stations blockage mitigation in millimetre-wave 5G communication applied in (VIOT)

BN Alsunbuli, HF Fakhruldeen, W Ismail… - Computers and …, 2022 - Elsevier
Wireless millimetre-wave communication has been adopted in fifth-generation
telecommunication due to its larger bandwidth, low interference, and higher resolutions …

Prediction of mmWave/THz link blockages through meta-learning and recurrent neural networks

AE Kalør, O Simeone, P Popovski - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Wireless applications that rely on links that offer high reliability depend critically on the
capability of the system to predict link quality within a given time interval. This dependence is …

Blockage effects of road bridge on mmwave channels for intelligent autonomous vehicles

D Yan, K Guan, D He, J Kim, H Chung… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Vehicular communication and sensing technologies are key to enabling 6G Intelligent
Autonomous Transportation Systems (IATS). With the introduction of massive sensors and …

Learning and adaptation for millimeter-wave beam tracking and training: A dual timescale variational framework

M Hussain, N Michelusi - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Millimeter-wave vehicular networks incur enormous beam-training overhead to enable
narrow-beam communications. This paper proposes a learning and adaptation framework in …

Environment-aware link quality prediction for millimeter-wave wireless lans

Y Liu, DM Blough - Proceedings of the 20th ACM International …, 2022 - dl.acm.org
Millimeter-wave (mmWave) communications have been regarded as one of the most
promising solutions to deliver ultra-high data rates in wireless local-area networks. A …

Learning-based predictive transmitter-receiver beam alignment in millimeter wave fixed wireless access links

J Zhang, C Masouros - IEEE Transactions on Signal Processing, 2021 - ieeexplore.ieee.org
Millimeter wave (mmwave) fixed wireless access is a key enabler of 5G and beyond small
cell network deployment, exploiting the abundant mmwave spectrum to provide Gbps …

Fast position-aided MIMO beam training via noisy tensor completion

TH Chou, N Michelusi, DJ Love… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
In this paper, a data-driven position-aided approach is proposed to reduce the training
overhead in MIMO systems by leveraging side information and on-the-field measurements …

Optimal antenna locations for coverage extension in sub-terahertz vehicle-to-vehicle communications

D Moltchanov, VA Beschastnyi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Sub-terahertz (sub-THz, 100–300 GHz) communications promise to bring extraordinary
rates in future 6G systems. High path loss and blockage effects will limit the coverage of …