Power scaling law analysis and phase shift optimization of RIS-aided massive MIMO systems with statistical CSI
This paper considers an uplink reconfigurable intelligent surface (RIS)-aided massive
multiple-input multiple-output (MIMO) system, where the phase shifts of the RIS are …
multiple-input multiple-output (MIMO) system, where the phase shifts of the RIS are …
Joint hybrid 3D beamforming relying on sensor-based training for reconfigurable intelligent surface aided TeraHertz-based multiuser massive MIMO systems
Terahertz (THz) systems have the benefit of high bandwidth and hence are capable of
supporting ultra-high data rates, albeit at the cost of high pathloss. Hence they tend to …
supporting ultra-high data rates, albeit at the cost of high pathloss. Hence they tend to …
Deep-learning based channel estimation for RIS-aided mmWave systems with beam squint
Reconfigurable intelligent surface (RIS) assisted wireless systems require accurate channel
state information (CSI) to control wireless channels and improve overall network …
state information (CSI) to control wireless channels and improve overall network …
Reconfigurable intelligent surface aided massive MIMO systems with low-resolution DACs
We investigate a reconfigurable intelligent surface (RIS)-aided multi-user massive multiple-
input multi-output (MIMO) system where low-resolution digital-analog converters (DACs) are …
input multi-output (MIMO) system where low-resolution digital-analog converters (DACs) are …
CSI feedback with model-driven deep learning of massive MIMO systems
J Guo, L Wang, F Li, J Xue - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
In order to achieve reliable communication with a high data rate of massive multiple-input
multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated …
multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated …
Two-timescale-based beam training for RIS-aided millimeter-wave multi-user MISO systems
Reconfigurable intelligent surfaces (RISs), as a promising technology for 6 G
communications, have received considerable attention. Herein, we investigate the downlink …
communications, have received considerable attention. Herein, we investigate the downlink …
Spatially correlated RIS-aided CF massive MIMO systems with generalized MR combining
In this correspondence, we study the uplink ergodic net throughput of a spatially correlated
reconfigurable intelligent surface (RIS)-aided cell-free (CF) massive multiple-input multiple …
reconfigurable intelligent surface (RIS)-aided cell-free (CF) massive multiple-input multiple …
Deep-learning-based millimeter-wave massive MIMO for hybrid precoding
H Huang, Y Song, J Yang, G Gui… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been
regarded to be an emerging solution for the next generation of communications, in which …
regarded to be an emerging solution for the next generation of communications, in which …
Ergodic rate analysis of reconfigurable intelligent surface-aided massive MIMO systems with ZF detectors
This letter investigates the reconfigurable intelligent surface (RIS)-aided massive multiple-
input multiple-output (MIMO) systems with a two-timescale design. First, the zero-forcing (ZF) …
input multiple-output (MIMO) systems with a two-timescale design. First, the zero-forcing (ZF) …
Model-driven deep learning for massive MU-MIMO with finite-alphabet precoding
Massive multiuser multiple-input multiple-output (MU-MIMO) has been the mainstream
technology in fifth-generation wireless systems. To reduce high hardware costs and power …
technology in fifth-generation wireless systems. To reduce high hardware costs and power …