[PDF][PDF] A review on machine learning and deep learning for various antenna design applications

MM Khan, S Hossain, P Mozumdar, S Akter… - Heliyon, 2022 - cell.com
The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …

Millimeter-wave NOMA with user grouping, power allocation and hybrid beamforming

L Zhu, J Zhang, Z Xiao, X Cao, DO Wu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper investigates the application of non-orthogonal multiple access in millimeter-Wave
communications (mmWave-NOMA). Particularly, we consider downlink transmission with a …

Millimeter-wave communications with non-orthogonal multiple access for B5G/6G

L Zhu, Z Xiao, XG Xia, DO Wu - IEEE access, 2019 - ieeexplore.ieee.org
In order to further improve the system capacity, we explore the integration of non-orthogonal
multiple access (NOMA) in millimeter-wave communications (mmWave-NOMA) for future …

Antenna array enabled space/air/ground communications and networking for 6G

Z Xiao, Z Han, A Nallanathan, OA Dobre… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Antenna arrays have a long history of more than 100 years and have evolved closely with
the development of electronic and information technologies, playing an indispensable role …

A survey of millimeter-wave communication: Physical-layer technology specifications and enabling transmission technologies

S He, Y Zhang, J Wang, J Zhang, J Ren… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Millimeter-wave (mmWave) frequency bands, which offer abundant underutilized spectral
resources, have been explored and exploited in the past several years to meet the …

Low-overhead beam training scheme for extremely large-scale RIS in near field

W Liu, C Pan, H Ren, F Shu, S Jin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Extremely large-scale reconfigurable intelligent surface (XL-RIS) has recently been
proposed and is recognized as a promising technology that can further enhance the …

Unmanned aerial vehicle base station (UAV-BS) deployment with millimeter-wave beamforming

Z Xiao, H Dong, L Bai, DO Wu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) with flexible mobility and low cost has been a promising
technology for wireless communication. Thus, it can be used for wireless data collection in …

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 …

Hierarchical codebook-based multiuser beam training for millimeter wave massive MIMO

C Qi, K Chen, OA Dobre, GY Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, multiuser beam training based on hierarchical codebook for millimeter wave
massive multi-input multi-output is investigated, where the base station (BS) simultaneously …

Machine learning for beam alignment in millimeter wave massive MIMO

W Ma, C Qi, GY Li - IEEE Wireless Communications Letters, 2020 - ieeexplore.ieee.org
This letter investigates beam alignment for multi-user millimeter wave (mmWave) massive
multi-input multi-output system. Unlike the existing works using machine learning (ML), an …