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 …

Environment-aware and training-free beam alignment for mmWave massive MIMO via channel knowledge map

D Wu, Y Zeng, S Jin, R Zhang - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) communication
system is expected to achieve enormous transmission rate, provided that the transmit and …

Deep learning for beam training in millimeter wave massive MIMO systems

C Qi, Y Wang, GY Li - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
This paper investigates deep learning for beam training in millimeter wave (mmWave)
massive multiple-input multiple-output (MIMO) systems. Different from the existing work, we …

Beam training and allocation for multiuser millimeter wave massive MIMO systems

X Sun, C Qi, GY Li - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
We investigate beam training and allocation for multiuser millimeter wave massive MIMO
systems. An orthogonal pilot-based beam training scheme is first developed to reduce the …

Angle domain hybrid precoding and channel tracking for millimeter wave massive MIMO systems

J Zhao, F Gao, W Jia, S Zhang, S Jin… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The millimeter-wave (mm-wave) massive multiple-input multiple-output (MIMO) system has
gained much attention for its considerable improvement in system throughput. However, the …

Near-optimal beam selection for beamspace mmWave massive MIMO systems

X Gao, L Dai, Z Chen, Z Wang… - IEEE Communications …, 2016 - ieeexplore.ieee.org
The recent concept of beamspace MIMO can utilize beam selection to reduce the number of
required radio-frequency (RF) chains in mmWave massive MIMO systems without obvious …

Low-complexity beam training for 5G millimeter-wave massive MIMO systems

W Wu, D Liu, X Hou, M Liu - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
We consider a 5G millimeter-wave (mmWave) massive MIMO system with subconnected
hybrid structure, where each transceiver unit (TXRU) is connected to a subarray at 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 …

Robust location-aided beam alignment in millimeter wave massive MIMO

F Maschietti, D Gesbert, P de Kerret… - … 2017-2017 IEEE …, 2017 - ieeexplore.ieee.org
Location-aided beam alignment has been proposed recently as a potential approach for fast
link establishment in millimeter wave (mmWave) massive MIMO (mMIMO) communications …

Simplified learned approximate message passing network for beamspace channel estimation in mmWave massive MIMO systems

C Ruan, Z Zhang, H Jiang, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication using lens antenna array has emerged as a
promising techique for the next generation wireless communication systems, which has the …