Annealed Langevin dynamics for massive MIMO detection

N Zilberstein, C Dick… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Solving the optimal symbol detection problem in multiple-input multiple-output (MIMO)
systems is known to be NP-hard. Hence, the objective of any detector of practical relevance …

Semi-blind channel-and-signal estimation for uplink massive MIMO with channel sparsity

W Yan, X Yuan - IEEE Access, 2019 - ieeexplore.ieee.org
This paper considers the transceiver design for uplink massive multiple-input multiple-output
(MIMO) systems with channel sparsity in the angular domain. Recent progress has shown …

Efficient majorization-minimization-based channel estimation for one-bit massive MIMO systems

F Liu, X Shang, H Zhu - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
We consider efficient channel estimation for massive multiple-input multiple-output (MIMO)
systems using one-bit analog-to-digital converters (ADCs) with antenna-varying thresholds …

Exploiting the massive MIMO channel structural properties for minimization of channel estimation error and training overhead

S Bazzi, S Stefanatos, L Le Magoarou, SE Hajri… - IEEE …, 2019 - ieeexplore.ieee.org
Exploiting massive multiple-input-multiple-output (MIMO) gains come at the expense of
obtaining accurate channel estimates at the base station. However, conventional channel …

Learning the structured sparsity: 3-D massive MIMO channel estimation and adaptive spatial interpolation

Y Wang, A Liu, X Xia, K Xu - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
This paper addresses the channel estimation problem for three-dimensional (3-D) massive
multiple-input multiple-output (MIMO) systems, where the base station (BS) is equipped with …

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 …

Channel estimation in massive MIMO under hardware non-linearities: Bayesian methods versus deep learning

ÖT Demir, E Björnson - IEEE Open Journal of the …, 2019 - ieeexplore.ieee.org
This paper considers the joint impact of non-linear hardware impairments at the base station
(BS) and user equipments (UEs) on the uplink performance of single-cell massive MIMO …

Double-sparsity learning-based channel-and-signal estimation in massive MIMO with generalized spatial modulation

X Kuai, X Yuan, W Yan, H Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study joint antenna activity detection, channel estimation, and multiuser
detection for massive multiple-input multiple-output (MIMO) systems with general spatial …

Joint channel training and feedback for FDD massive MIMO systems

W Shen, L Dai, Y Shi, B Shim… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is widely recognized as a promising
technology for future 5G wireless communication systems. To achieve the theoretical …

FDD massive MIMO channel estimation with arbitrary 2D-array geometry

J Dai, A Liu, VKN Lau - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of downlink channel estimation in frequency-division
duplexing massive multiple-input multiple-output systems. The existing methods usually …