Deep compressed sensing-based cascaded channel estimation for RIS-aided communication systems

W Xie, J Xiao, P Zhu, C Yu… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
To reduce the pilot overhead of cascaded channel estimation for RIS-aided Massive MIMO
communication system, we proposed a deep compressed sensing-based channel …

Deep learning-based CSI feedback approach for time-varying massive MIMO channels

T Wang, CK Wen, S Jin, GY Li - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …

What role do intelligent reflecting surfaces play in multi-antenna non-orthogonal multiple access?

AS De Sena, D Carrillo, F Fang… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA)
are two key techniques for enabling massive connectivity in future wireless networks. A …

Machine learning enabled preamble collision resolution in distributed massive MIMO

J Ding, D Qu, P Liu, J Choi - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Preamble collision is a bottleneck that impairs the performance of random access (RA) user
equipment (UE) in grant-free RA (GFRA). In this paper, by leveraging distributed massive …

Machine learning-based hybrid precoding with robust error for UAV mmWave massive MIMO

H Ren, L Li, W Xu, W Chen… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can now be considered as aerial base stations (BSs) to
support ultra-reliable and low-latency communications by establishing line-of-sight (LoS) …

Matrix-calibration-based cascaded channel estimation for reconfigurable intelligent surface assisted multiuser MIMO

H Liu, X Yuan, YJA Zhang - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is envisioned to be an essential component of the
paradigm for beyond 5G networks as it can potentially provide similar or higher array gains …

Channel estimation for reconfigurable intelligent surface aided massive MIMO system

J Zhang, C Qi, P Li, P Lu - 2020 IEEE 21st International …, 2020 - ieeexplore.ieee.org
The uplink channel estimation for the reconfigurable intelligent surface (RIS) aided massive
multiple-input multipleoutput (MIMO) system is investigated. By changing the phase matrix of …

Decoupling energy efficient approach for hybrid precoding-based mmWave massive MIMO-NOMA with SWIPT

A Jawarneh, M Kadoch, Z Albataineh - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, we address the problem of energy consumption associated with mixed signal
components such as analog-to-digital components in millimeter-wave (mmWave) massive …

Joint optimization of reconfigurable intelligent surfaces and dynamic metasurface antennas for massive MIMO communications

X Qian, M Di Renzo, V Sciancalepore… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) are a promising technology for enhancing the
communication performance of future wireless systems by controlling the wireless …

MRFNet: A deep learning-based CSI feedback approach of massive MIMO systems

Z Hu, J Guo, G Liu, H Zheng… - IEEE Communications …, 2021 - ieeexplore.ieee.org
In frequency division duplex (FDD) networks, channel state information (CSI) is critical for
massive multiple-input multiple-output (MIMO) systems, because the base station (BS) relies …