Energy-efficient hybrid precoding with low complexity for mmWave massive MIMO systems

Y Liu, Q Feng, Q Wu, Y Zhang, M Jin, T Qiu - IEEE Access, 2019 - ieeexplore.ieee.org
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) utilizes large
antenna arrays and is considered a promising technology for fifth-generation (5G) and …

Active star-ris aided cell-free massive mimo: A performance study

X Ma, X Lei, PT Mathiopoulos… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates the spectral efficiency (SE) of an active simultaneously transmitting
and reflecting reconfigurable intelligent surface (aSTAR-RIS) aided cell-free massive …

Deep learning (DL)-based channel prediction and hybrid beamforming for LEO satellite massive MIMO system

Y Zhang, A Liu, P Li, S Jiang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Low-Earth orbit (LEO) satellites are recognized as one of the most promising infrastructures
for realizing global Internet of Things (IoT) services. With the explosive growth of user …

Terahertz massive MIMO for beyond-5G wireless communication

SA Busari, KMS Huq, S Mumtaz… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Spectrum use will undoubtedly move to the terahertz (THz) frequencies in the beyond fifth-
generation (B5G) mobile system era. With enormous bandwidth far greater than the amount …

Deep channel learning for large intelligent surfaces aided mm-wave massive MIMO systems

AM Elbir, A Papazafeiropoulos… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
This letter presents the first work introducing a deep learning (DL) framework for channel
estimation in large intelligent surface (LIS) assisted massive MIMO (multiple-input multiple …

Scalable and flexible massive MIMO precoding for 5G H-CRAN

N Chen, B Rong, X Zhang… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
Scalability and flexibility are widely considered as two major design goals for 5G networks.
Aiming at these goals, this article first identifies a promising architecture based on the …

Channel estimation for cell-free mmWave massive MIMO through deep learning

Y Jin, J Zhang, S Jin, B Ai - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
The combination of cell-free massive multiple-input multiple-output (MIMO) systems along
with millimeter-wave (mmWave) bands is indeed one of most promising technological …

Model-driven deep learning based channel estimation and feedback for millimeter-wave massive hybrid MIMO systems

X Ma, Z Gao, F Gao, M Di Renzo - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
This paper proposes a model-driven deep learning (MDDL)-based channel estimation and
feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input …

Multi-user linear precoding for multi-polarized massive MIMO system under imperfect CSIT

J Park, B Clerckx - IEEE Transactions on Wireless …, 2015 - ieeexplore.ieee.org
The space limitation and channel acquisition prevent Massive MIMO from being easily
deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use …

Spectral efficiency analysis of hybrid relay-reflecting intelligent surface-assisted cell-free massive MIMO systems

NT Nguyen, VD Nguyen, H Van Nguyen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
A cell-free (CF) massive multiple-input-multiple-output (mMIMO) system can provide uniform
spectral efficiency (SE) with simple signal processing. On the other hand, a recently …