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 …

Blind signal detection in massive MIMO: Exploiting the channel sparsity

J Zhang, X Yuan, YJA Zhang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In practical massive MIMO systems, a substantial portion of system resources are consumed
to acquire channel state information (CSI), leading to a drastically lower system capacity …

Blind data detection in massive MIMO via ℓ₃-norm maximization over the Stiefel manifold

Y Xue, Y Shen, VKN Lau, J Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Massive MIMO has been regarded as a key enabling technique for 5G and beyond
networks. Nevertheless, its performance is limited by the large overhead needed to obtain …

Semi-blind detection in hybrid massive MIMO systems via low-rank matrix completion

S Liang, X Wang, L Ping - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) systems with hybrid analog/digital
architectures, large training overhead is required for conventional pilot-only methods to …

Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO

Z Gao, L Dai, Z Wang, S Chen - IEEE transactions on signal …, 2015 - ieeexplore.ieee.org
This paper proposes a spatially common sparsity based adaptive channel estimation and
feedback scheme for frequency division duplex based massive multi-input multi-output …

Beam-blocked channel estimation for FDD massive MIMO with compressed feedback

W Huang, Y Huang, W Xu, L Yang - IEEE Access, 2017 - ieeexplore.ieee.org
To fully exploit both multiplexing gain and array gain of massive multiple-input-
multipleoutput (MIMO), the channel state information must be obtained accurately at …

AdaBoost-Based Efficient Channel Estimation and Data Detection in One-Bit Massive MIMO

M Esfandiari, SA Vorobyov… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The use of one-bit analog-to-digital converter (ADC) has been considered as a viable
alternative to high resolution counterparts in realizing and commercializing massive multiple …

Joint channel estimation algorithm based on structured compressed sensing for FDD multi-user massive MIMO

R Zhang, H Zhao, S Jia, C Shan - 2016 IEEE 13th International …, 2016 - ieeexplore.ieee.org
Accurate channel state information (CSI) at transmitter is of importance to sufficiently exploit
the merits of massive multiple input multiple output (MIMO). Because of the large amount of …

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 …

Semi-blind channel estimation and data detection for multi-cell massive MIMO systems on time-varying channels

M Naraghi-Pour, M Rashid, C Vargas-Rosales - IEEE Access, 2021 - ieeexplore.ieee.org
We study the problem of semi-blind channel estimation and symbol detection in the uplink of
multi-cell massive MIMO (multi-input multi-output) systems with spatially correlated time …