An Overview of Massive MIMO for 5G and 6G

FAP de Figueiredo - IEEE Latin America Transactions, 2022 - ieeexplore.ieee.org
Massive MIMO is a disruptive technology that was born more than a decade ago, and that
has been adopted as an integral part of the 5G standard. Without its many advantages, the …

Transfer learning for semi-supervised automatic modulation classification in ZF-MIMO systems

Y Wang, G Gui, H Gacanin, T Ohtsuki… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an essential technology for the non-
cooperative communication systems, and it is widely applied into various communications …

A model-driven deep learning method for massive MIMO detection

J Liao, J Zhao, F Gao, GY Li - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
In this letter, an efficient massive multiple-input multiple-output (MIMO) detector is proposed
by employing a deep neural network (DNN). Specifically, we first unfold an existing iterative …

[Retracted] 5G Massive MIMO Signal Detection Algorithm Based on Deep Learning

L Yan, Y Wang, N Zheng - Computational Intelligence and …, 2022 - Wiley Online Library
Aiming at the problems of poor signal detection effect caused by many interference factors in
large‐scale MIMO technology scene, this paper proposes a 5G massive MIMO signal …

Deep learning aided low complex sphere decoding for MIMO detection

J Liao, J Zhao, F Gao, GY Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a deep learning based sphere decoding (SD) scheme to reduce
the detection complexity for the multiple-input multiple-output (MIMO) communication …

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 …

[HTML][HTML] Artificial intelligence-enhanced signal detection technique for beyond fifth generation networks

MY Daha, J Rafferty, MI Ashraf, MU Hadi - Computers and Electrical …, 2024 - Elsevier
The incorporation of artificial intelligence (AI) has transformed multiple input multiple output
(MIMO) technology into a promising candidate for next-generation technologies such as …

A low-complexity double EP-based detector for iterative detection and decoding in MIMO

JJ Murillo-Fuentes, I Santos… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
We propose a new iterative detection and decoding (IDD) algorithm for multiple-input
multiple-output (MIMO) based on expectation propagation (EP) with application to massive …

Error probability analysis for ultra-massive MIMO system and near-optimal signal detection

L Xiao, S Li, Y Liu, G Liu, P Xiao… - China …, 2023 - ieeexplore.ieee.org
In this paper, average bit error probability (ABEP) bound of optimal maximum likelihood (ML)
detector is first derived for ultra massive (UM) multiple-input-multiple-output (MIMO) system …

A low complexity near-optimal iterative linear detector for massive MIMO in realistic radio channels of 5G communication systems

MA Albreem, MH Alsharif, S Kim - Entropy, 2020 - mdpi.com
Massive multiple-input multiple-output (M-MIMO) is a substantial pillar in fifth generation
(5G) mobile communication systems. Although the maximum likelihood (ML) detector attains …