Massive MIMO detection techniques: A survey
MA Albreem, M Juntti… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …
in performance and quality of services (QoS) for next generation communication systems …
Ten‐element MIMO antenna for 5G terminals
JY Deng, J Yao, DQ Sun, LX Guo - Microwave and Optical …, 2018 - Wiley Online Library
A MIMO antenna with 10 elements operating on 3.3‐3.6 GHz for 5G applications is
proposed. The 10 elements of the proposed MIMO antenna include six monopoles and four …
proposed. The 10 elements of the proposed MIMO antenna include six monopoles and four …
An improved expectation propagation based detection scheme for MIMO systems
G Yao, H Chen, J Hu - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
Multiple-input Multiple-output (MIMO) technologies play an important role in modern and
future wireless communication systems as they can improve the capacity without increasing …
future wireless communication systems as they can improve the capacity without increasing …
Blind multiuser detection in massive MIMO channels with clustered sparsity
In this letter, we propose a blind multiuser detection algorithm for massive MIMO systems
equipped with a uniform planar antenna array. We model the channel in the angular domain …
equipped with a uniform planar antenna array. We model the channel in the angular domain …
Blind downlink channel estimation of multi-user multi-cell massive MIMO system in presence of the pilot contamination
P Pasangi, M Atashbar, MM Feghhi - AEU-International Journal of …, 2020 - Elsevier
The pilot contamination is a challenge of channel estimation in multi-user multi-cell massive
Multiple Input Multiple Output (MIMO) system. In the Time Division Duplexing (TDD) …
Multiple Input Multiple Output (MIMO) system. In the Time Division Duplexing (TDD) …
Bilinear Expectation Propagation for Distributed Semi-Blind Joint Channel Estimation and Data Detection in Cell-Free Massive MIMO
A Karataev, C Forsch… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
We consider a cell-free massive multiple-input multiple-output (CF-MaMIMO) communication
system in the uplink transmission and propose a novel algorithm for blind or semi-blind joint …
system in the uplink transmission and propose a novel algorithm for blind or semi-blind joint …
Model-based and data-driven approaches for downlink massive MIMO channel estimation
We study downlink channel estimation in a multi-cell Massive multiple-input multiple-output
(MIMO) system operating in time-division duplex. The users must know their effective …
(MIMO) system operating in time-division duplex. The users must know their effective …
A low complexity expectation propagation detection for massive MIMO system
G Yao, G Yang, J Hu, C Fei - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
This paper proposes a low-complexity expectation propagation (EP) algorithm for massive
multiple-input multiple-output (MIMO) detections. The original EP detection algorithm shows …
multiple-input multiple-output (MIMO) detections. The original EP detection algorithm shows …
Blind data detection in massive MIMO via ℓ₃-norm maximization over the Stiefel manifold
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 …
networks. Nevertheless, its performance is limited by the large overhead needed to obtain …
A sparsity-based adaptive channel estimation algorithm for massive MIMO wireless powered communication networks
Y Huang, Y He, L Shi, T Cheng, Y Sui, W He - IEEE Access, 2019 - ieeexplore.ieee.org
Compressed sensing (CS) based channel estimation methods can effectively acquire
channel state information for Massive MIMO wireless powered communication networks. In …
channel state information for Massive MIMO wireless powered communication networks. In …