Intelligent massive MIMO systems for beyond 5G networks: An overview and future trends

O Elijah, SKA Rahim, WK New, CY Leow… - IEEE …, 2022 - ieeexplore.ieee.org
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

Energy efficiency augmentation in massive MIMO systems through linear precoding schemes and power consumption modeling

RM Asif, J Arshad, M Shakir, SM Noman… - Wireless …, 2020 - Wiley Online Library
Massive multiple‐input multiple‐output or massive MIMO system has great potential for 5th
generation (5G) wireless communication systems as it is capable of providing game …

Massive MIMO systems: Present and future

K Maruta, F Falcone - Electronics, 2020 - mdpi.com
We are going to see the first decade since the fundamental concept of massive multiple-
input multiple-output (MIMO)(also called large-scale MIMO) has emerged [1]. Massive MIMO …

Iterative analog–digital multi-user equalizer for wideband millimeter wave massive MIMO systems

R Magueta, D Castanheira, P Pedrosa, A Silva, R Dinis… - Sensors, 2020 - mdpi.com
Most of the previous work on hybrid transmit and receive beamforming focused on
narrowband channels. Because the millimeter wave channels are expected to be wideband …

Distributed UAV Beamforming Using Graph Recurrent Neural Networks

W Zheng, BM Sadler, F Gama… - 2024 IEEE 13rd Sensor …, 2024 - ieeexplore.ieee.org
In this paper we develop a novel learning-based approach for mobile distributed
beamforming without channel state information. We consider narrowband beamforming …

A low complexity hybrid combiner design for the ill‐conditioned multiuser mmWave massive MIMO uplink

I Ahmed, H Khammari, F Alraddady - IET Communications, 2021 - Wiley Online Library
This paper presents a simple and robust hybrid combiner for the multiuser massive multiple‐
input multiple‐output (MIMO) uplink. The hybrid beamforming is used in massive MIMO …

Design Analysis of Adaptive Beamforming in a MIMO-millimeter Wave 5G Heterogeneous Wireless Network using Machine Learning Models

S Chopra - 2021 - researchsquare.com
Design Analysis of Adaptive Beamforming in a MIMO-millimeter Wave 5G Heterogeneous
Wireless Network using Machine Learning Model Page 1 Design Analysis of Adaptive …

CONCEPTION ET OPTIMISATION D'ANTENNE PATCH POUR LES APPLICATION DE COMMUNICATION 5G

W BOUAKEZ, A KHEDIRI - 2024 - dspace.univ-tebessa.dz
De nos jours, avec la généralisation des systèmes de communication sans fil et la nécessité
croissante de miniaturiser les antennes pour les intégrer dans de petits objets fonctionnant à …

[PDF][PDF] Intelligent Massive MIMO Systems for Beyond 5G Networks: An Overview and Future Trends

K CUMANAN, T GEOK - pure.york.ac.uk
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

[PDF][PDF] Design Analysis of Adaptive Beamforming in a MIMO-millimeter Wave 5G Heterogeneous Wireless Network using Machine Learning Models

E Sanjeev Chopra, P TIET - pdfs.semanticscholar.org
Design Analysis of Adaptive Beamforming in a MIMO-millimeter Wave 5G Heterogeneous
Wireless Network using Machine Learning Model Page 1 1 Design Analysis of Adaptive …