Learning the time-varying massive MIMO channels: Robust estimation and data-aided prediction

X Xia, K Xu, S Zhao, Y Wang - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
The quasi-static assumption of channels becomes invalid in a number of emerging
applications of massive multiple-input multiple-output (MIMO) systems with high base station …

Channel estimation for FDD multi-user massive MIMO: A variational Bayesian inference-based approach

X Cheng, J Sun, S Li - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
This paper addresses downlink channel estimation for frequency division duplex multi-user
massive multiple-input multiple-output systems. Suppose that a base station communicates …

Plug-in channel estimation with dithered quantized signals in spatially non-stationary massive MIMO systems

T Yang, J Maly, S Dirksen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As the array dimension of massive MIMO systems increases to unprecedented levels, two
problems occur. First, the spatial stationarity assumption along the antenna elements is no …

Non-uniform burst-sparsity learning for massive MIMO channel estimation

J Dai, A Liu, HC So - IEEE Transactions on Signal Processing, 2018 - ieeexplore.ieee.org
We address the downlink channel estimation problem for massive multiple-input multiple-
output (MIMO) systems in this paper, where the inherit burst-sparsity structure is exploited to …

FDD massive MIMO via UL/DL channel covariance extrapolation and active channel sparsification

MB Khalilsarai, S Haghighatshoar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We propose a novel method for massive multiple-input multiple-output (massive MIMO) in
frequency division duplexing (FDD) systems. Due to the large frequency separation between …

A novel FDD massive MIMO system based on downlink spatial channel estimation without CSIT

AA Esswie, M El-Absi, OA Dobre, S Ikki… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Channel state information (CSI) acquisition is a crucial issue in downlink FDD-based
massive multi-input multioutput (MIMO) networks, where the channel reciprocity is not …

Sparse activity detection in multi-cell massive MIMO exploiting channel large-scale fading

Z Chen, F Sohrabi, W Yu - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
This paper studies the device activity detection problem in a multi-cell massive multiple-input
multiple-output (MIMO) system, in which the active devices transmit signature sequences to …

Channel estimation for sparse massive MIMO channels in low SNR regime

Z Gong, C Li, F Jiang - IEEE Transactions on Cognitive …, 2018 - ieeexplore.ieee.org
With perfect channel state information, a huge signal to noise ratio (SNR) gain can be
obtained in massive multiple input multiple output (MIMO) systems. Therefore, massive …

Limited feedback double directional massive MIMO channel estimation: From low-rank modeling to deep learning

H Sun, Z Zhao, X Fu, M Hong - 2018 IEEE 19th International …, 2018 - ieeexplore.ieee.org
In frequency division duplex massive MIMO systems, one critical challenge is that the
mobiles need to feed back a large downlink channel matrix to the base station, creating …

A block sparsity based estimator for mmWave massive MIMO channels with beam squint

M Wang, F Gao, N Shlezinger… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Multiple-input multiple-output (MIMO) millimeter wave (mmWave) communication is a key
technology for next generation wireless networks. One of the consequences of utilizing a …