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 …

Deep neural network: an alternative to traditional channel estimators in massive MIMO systems

A Melgar, A de la Fuente, L Carro-Calvo… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Fifth-generation (5G) requires a highly accurate estimate of the channel state information
(CSI) to exploit the benefits of massive multiple-input-multiple-output (MaMIMO) systems. 5G …

Randomized approximate channel estimator in massive-MIMO communication

B Li, S Wang, J Zhang, X Cao… - IEEE Communications …, 2020 - ieeexplore.ieee.org
Massive MIMO is considered as one key enabling technology in 5G communications.
Although the high-quality channel state information (CSI) estimation is essential to improve …

Compressed channel estimation for FDD massive MIMO systems without prior knowledge of sparse channel model

MJ Azizipour, K Mohamed‐Pour - IET Communications, 2019 - Wiley Online Library
In this study, a new greedy‐based algorithm for sparse channel estimation in frequency‐
division duplexing massive multiple‐input multiple‐output (MIMO) systems is introduced …

Spectrum-efficiency parametric channel estimation scheme for massive MIMO Systems

Z Gao, C Zhang, C Dai, Q Han - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
This paper proposes a parametric channel estimation method for massive multiple input
multiple output (MIMO) systems, whereby the spatial correlation of wireless channels is …

Exploiting the clustered sparsity for channel estimation in hybrid analog-digital massive MIMO systems

Y Wang, A Liu, X Xia, K Xu - IEEE Access, 2018 - ieeexplore.ieee.org
Although the hybrid analog–digital processing reduces the hardware complexity to realize
massive multiple-input multiple-output system, it increases the difficulty of channel …

Hierarchical-block sparse Bayesian learning for spatial non-stationary massive MIMO channel estimation

J Chen, P Zhang, N Ma, X Xu - IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
This letter provides a novel hierarchical-block channel estimation scheme for massive
multiple-input multiple-output (MIMO) systems based on Bayesian learning frameworks …

Leveraging sparsity into massive MIMO channel estimation with the adaptive-LASSO

G Destino, M Juntti, S Nagaraj - 2015 IEEE Global Conference …, 2015 - ieeexplore.ieee.org
Recent results have revealed that massive multiple-input-multiple-output (MIMO) channels
exhibit a sparse structure. In this paper, we leverage this feature into the development of a …

Efficient compressive sensing based sparse channel estimation for 5G massive MIMO systems

I Khan, D Singh - AEU-International Journal of Electronics and …, 2018 - Elsevier
Massive MIMO (multiple-input-multiple-output) is one of the key technologies of 5G mobile
cellular networks, which can form a huge antenna array by providing a large number of …

Multiuser Massive MIMO Channel Estimation and BER Analysis Using Convex Combination Based Algorithms

M Sahoo, HK Sahoo - Wireless Personal Communications, 2022 - Springer
Massive multiple-input multiple-output (MIMO) employs a large antenna array and is used as
a key technology in 5G communication standards. In this work, time-division duplex (TDD) is …