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 …

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 …

Low-complexity beamforming algorithms for IRS-aided single-user massive MIMO mmWave systems

EE Bahingayi, K Lee - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
This paper considers intelligent reflecting surface (IRS)-aided single-user (SU) massive
multiple-input multiple-output (mMIMO) millimeter wave (mmWave) downlink communication …

Cell-free millimeter-wave massive MIMO systems with limited fronthaul capacity

G Femenias, F Riera-Palou - IEEE Access, 2019 - ieeexplore.ieee.org
Network densification, massive multiple-input multiple-output (MIMO), and millimeter-wave
(mmWave) bands have recently emerged as some of the physical layer enablers for the …

Near-optimal hybrid analog and digital precoding for downlink mmWave massive MIMO systems

L Dai, X Gao, J Quan, S Han… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Millimeter wave (mmWave) massive MIMO can achieve orders of magnitude increase in
spectral and energy efficiency, and it usually exploits the hybrid analog and digital …

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 …

Interference cancellation aided hybrid beamforming for mmWave multi-user massive MIMO systems

J Zhan, X Dong - IEEE Transactions on Vehicular Technology, 2021 - ieeexplore.ieee.org
In large scale multiple-input multiple-output (MIMO) systems (or massive MIMO systems),
hybrid beamforming is a promising technique due to its versatile tradeoff between …

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 …

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 …

Hybridly connected structure for hybrid beamforming in mmWave massive MIMO systems

D Zhang, Y Wang, X Li, W Xiang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we propose a hybridly connected structure for hybrid beamforming in
millimeter-wave (mmWave) massive MIMO systems, where the antenna arrays at the …