Estimation of sparse massive MIMO-OFDM channels with approximately common support

X Lin, S Wu, L Kuang, Z Ni, X Meng… - IEEE Communications …, 2017 - ieeexplore.ieee.org
In this letter, we reveal that in the massive multiple-input multiple-output system with large
bandwidth, sub-channels of orthogonal frequency division multiplexing share approximately …

Sparse channel estimation via hierarchical hybrid message passing for massive MIMO-OFDM systems

X Liu, W Wang, X Song, X Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we investigate a sparse channel estimation problem for broadband massive
multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) …

Common sparsity and cluster structure based channel estimation for downlink massive MIMO-OFDM systems

W Ji, C Ren, L Qiu - IEEE Signal Processing Letters, 2018 - ieeexplore.ieee.org
In this letter, we propose a new channel estimation scheme for downlink channels in
massive multiple-input multiple-output systems, where orthogonal frequency-division …

Channel estimation for massive MIMO-OTFS systems via sparse Bayesian learning with 2-D local beta process

F Zhang, W Ji, L Qiu - 2022 IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) enables reliability in low latency
communication systems. This paper proposes a channel estimation scheme in orthogonal …

DCD-based joint sparse channel estimation for OFDM in virtual angular domain

M Liao, Y Zakharov - IEEE Access, 2021 - ieeexplore.ieee.org
Massive Multiple Input Multiple Output (MIMO) is a promising technique for communications
due to the high data transmission rate. To harvest the benefit from the massive MIMO, it is …

Sparse channel estimation for massive MIMO-OFDM systems over time-varying channels

Q Qin, L Gui, B Gong, S Luo - IEEE Access, 2018 - ieeexplore.ieee.org
For downlink orthogonal frequency division multiplexing-based massive multiple-input-
multiple-output transmission over the time-varying channel, channel estimation is very …

Massive MIMO-OFDM channel estimation via distributed compressed sensing

A Akbarpour-Kasgari… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Massive multiple-input multiple-output orthogonal frequency division multiplexing (mMIMO-
OFDM) channel estimation is considered recently utilizing compressed sensing (CS) based …

Sparse Bayesian learning for the time-varying massive MIMO channels: Acquisition and tracking

J Ma, S Zhang, H Li, F Gao, S Jin - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The low-rank property of the channel covariances can be adopted to reduce the overhead of
the channel training in massive MIMO systems. In this paper, with the help of the virtual …

Adaptive grouping sparse Bayesian learning for channel estimation in non-stationary uplink massive MIMO systems

X Cheng, K Xu, J Sun, S Li - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
This paper addresses wideband channel estimation in an uplink massive multiple-input
multiple-output (MIMO) system, which consists of multiple single-antenna users and a base …

Dictionary learning-based sparse channel representation and estimation for FDD massive MIMO systems

Y Ding, BD Rao - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of uplink (UL) and downlink (DL) channel estimation in
frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …