A survey on machine learning techniques for massive MIMO configurations: Application areas, performance limitations and future challenges

PK Gkonis - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled
the support of highly demanding applications, paving the way towards global broadband …

Deep unfolding hybrid beamforming designs for THz massive MIMO systems

NT Nguyen, M Ma, O Lavi, N Shlezinger… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz) massive multiple-
input multiple-output (mMIMO) communications systems. A core challenge with designing …

Gcepnet: Graph convolution-enhanced expectation propagation for massive mimo detection

Q Lu, S Luan, XW Chang - arxiv preprint arxiv:2404.14886, 2024 - arxiv.org
Massive MIMO (multiple-input multiple-output) detection is an important topic in wireless
communication and various machine learning based methods have been developed …

AI empowered 6G technologies and network layers: Recent trends, opportunities, and challenges

HU Rashid, SH Jeong - Expert Systems with Applications, 2024 - Elsevier
The exponential surge in demand for wireless connectivity has propelled the widespread
deployment of 5G communication networks, catalyzing a transformative paradigm shift in …

[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 …

[HTML][HTML] Variational autoencoder-enhanced deep neural network-based detection for MIMO systems

G Omondi, TO Olwal - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
Lately, there has been a substantial surge of interest in artificial intelligence (AI) as a
promising technology to tremendously elevate the efficiency of multiple-input multiple-output …

DUIDD: Deep-unfolded interleaved detection and decoding for MIMO wireless systems

R Wiesmayr, C Dick, J Hoydis… - 2022 56th Asilomar …, 2022 - ieeexplore.ieee.org
Iterative detection and decoding (IDD) is known to achieve near-capacity performance in
multi-antenna wireless systems. We propose deep-unfolded interleaved detection and …

Intelligent MIMO detection with momentum-induced unfolded layers

S Yun, S Moon, YS Jeon, Y Lee - IEEE Wireless …, 2024 - ieeexplore.ieee.org
In this letter, we present a novel deep-learning-based network for MIMO symbol detection,
referred to as a momentum-induced detection network, MomentNet. Inspired by the …

Optimizing signal detection in MIMO systems: AI vs approximate and linear detectors

MY Daha, K Khurshid, MI Ashraf… - IEEE Communications …, 2024 - ieeexplore.ieee.org
Artificial intelligence has transformed multiple input multiple output (MIMO) technology into a
promising candidate for six-generation networks. However, several interference signals …

Massive mimo detectors based on deep learning, stair matrix, and approximate matrix inversion methods

MA Albreem, KA Alnajjar, AJ Almasadeh - IEEE Access, 2023 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is an essential technology in fifth-generation
(5G) and beyond 5G (B5G) communication systems. Massive MIMO is employed to meet the …