Exploiting burst-sparsity in massive MIMO with partial channel support information

A Liu, VKN Lau, W Dai - IEEE Transactions on Wireless …, 2016 - ieeexplore.ieee.org
How to obtain accurate channel state information at the base station (CSIT) is a key
implementation challenge behind frequency-division duplex massive MIMO systems …

Joint burst LASSO for sparse channel estimation in multi-user massive MIMO

A Liu, V Lau, W Dai - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
The knowledge of CSI at the BS (CSIT) is required to achieve the high spectrum efficiency
promised by massive MIMO. In Frequency-Division Duplex (FDD) Massive MIMO systems …

Closed-loop compressive CSIT estimation in FDD massive MIMO systems with 1 bit feedback

VKN Lau, S Cai, A Liu - IEEE Transactions on Signal …, 2016 - ieeexplore.ieee.org
One major practical issue for the implementation of frequency division duplex (FDD)
massive MIMO systems is that the acquisition of channel state information at the transmitter …

Sparsity-enhancing basis for compressive sensing based channel feedback in massive MIMO systems

L Lu, GY Li, D Qiao, W Han - 2015 IEEE Global …, 2015 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems have attracted extensive attention
recently due to their potentials to provide high system capacity. To obtain the benefits of …

Low-complexity channel estimation in 5G massive MIMO-OFDM systems

OA Saraereh, I Khan, Q Alsafasfeh, S Alemaishat… - Symmetry, 2019 - mdpi.com
Pilot contamination is the reuse of pilot signals, which is a bottleneck in massive multi-input
multi-output (MIMO) systems as it varies directly with the numerous antennas, which are …

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 …

Compressed channel feedback for correlated massive MIMO systems

MS Sim, J Park, CB Chae… - … of Communications and …, 2016 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a promising approach for cellular
communication due to its energy efficiency and high achievable data rate. These …

Structured turbo compressed sensing for massive MIMO channel estimation using a Markov prior

L Chen, A Liu, X Yuan - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
Accurate channel estimation with small pilot overhead is vital to improve the capacity and
reliability of massive MIMO systems. Recently, compressed sensing has been applied to …

Closed-loop autonomous pilot and compressive CSIT feedback resource adaptation in multi-user FDD massive MIMO systems

A Liu, F Zhu, VKN Lau - IEEE Transactions on Signal …, 2016 - ieeexplore.ieee.org
Acquisition of accurate channel state information (CSI) at the transmitter (CSIT) is a major
challenge of deploying frequency-division duplexing massive MIMO systems. Although …

Channel estimation aware performance analysis for massive MIMO with Rician fading

P Liu, D Kong, J Ding, Y Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, by considering the average mean squared error (AMSE) of channel estimation,
we primarily obtain the closed-from expressions of the probability density function (PDF) and …