Two-timescale end-to-end learning for channel acquisition and hybrid precoding

Q Hu, Y Cai, K Kang, G Yu, J Hoydis… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
In this paper, we propose an end-to-end deep learning-based joint transceiver design
algorithm for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) …

Adaptive user pairing in multi-IRS-aided massive MIMO-NOMA networks: Spectral efficiency maximization and deep learning design

RHY Perdana, TV Nguyen, B An - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we propose an adaptive user pairing (AUP) scheme in multi-intelligent
reflecting surface (IRS)-aided massive multiple-input multiple-output (MIMO)-non-orthogonal …

Mutual information maximizing wideband multi-user (wMU) mmWave massive MIMO

S Gao, X Cheng, L Yang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To enable next-generation mmWave cellular, it is vital to design high-performance
precoding schemes for wideband multi-user (wMU) mmWave massive MIMO (mMIMO). As …

A novel quantization method for deep learning-based massive MIMO CSI feedback

T Chen, J Guo, S Jin, CK Wen… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) systems, channel state information (CSI)
needs feeding back to the base station (BS) by user equipment (UE) to attain the potential …

Channel estimation for intelligent reflecting surface assisted massive MIMO systems—A deep learning approach

Z Mao, X Liu, M Peng - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
The benefits of intelligent reflecting surfaces (IRS) assisted massive multiple-input multiple-
output systems are based on the accurate acquisition of channel state information but at the …

Max-Min SINR analysis of STAR-RIS assisted massive MIMO systems with hardware impairments

A Papazafeiropoulos, P Kourtessis… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) has emerged as a cost-effective solution to improve
wireless communication performance through just passive reflection. Recently, the concept …

Massive MIMO CSI feedback based on generative adversarial network

B Tolba, M Elsabrouty, MG Abdu-Aguye… - IEEE …, 2020 - ieeexplore.ieee.org
Massive multiple-input multiple-output (M-MIMO) is one of the main 5G-enabling
technologies that promise to increase cell throughput and reduce multiuser interference …

Spectral and energy efficiency of hybrid precoding for mmWave massive MIMO with low-resolution ADCs/DACs

Q Ding, Y Deng, X Gao - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we investigate the spectral efficiency (SE) and energy efficiency (EE) of hybrid
precoding in the point-to-point mmWave massive multiple-input multiple-output (MIMO) …

Coverage probability of STAR-RIS-assisted massive MIMO systems with correlation and phase errors

A Papazafeiropoulos, Z Abdullah… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
In this letter, we investigate a simultaneous transmitting and reflecting reconfigurable
intelligent surface (STAR-RIS) assisting a massive multiple-input multiple-output (mMIMO) …

RIS-aided hybrid massive MIMO systems relying on adaptive-resolution ADCs: Robust beamforming design and resource allocation

Y Wang, X Chen, Y Cai, L Hanzo - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The large-scale multiple-input multiple-output (MIMO) uplink is investigated in the presence
of channel-induced uncertainty, where variable-resolution analog-to-digital converters …