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 …

[HTML][HTML] A wideband circularly polarized magnetoelectric dipole antenna for 5G millimeter-wave communications

H Askari, N Hussain, MA Sufian, SM Lee, N Kim - Sensors, 2022 - mdpi.com
In this paper, a wideband circularly polarized (CP) magnetoelectric (ME) dipole antenna
operating at 28 GHz band was proposed for 5G millimeter-wave (mm-wave) …

A machine learning adaptive beamforming framework for 5G millimeter wave massive MIMO multicellular networks

S Lavdas, PK Gkonis, Z Zinonos, P Trakadas… - IEEE …, 2022 - ieeexplore.ieee.org
The goal of this paper is to evaluate the performance of an adaptive beamforming approach
in fifth-generation millimeter-wave multicellular networks, where massive multiple-input …

Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks

G Eappen, J Cosmas, R Nilavalan… - IET …, 2022 - Wiley Online Library
In this paper, a deep learning integrated reinforcement learning (DLIRL) algorithm is
proposed for comprehending intelligent beamsteering in Beyond Fifth Generation (B5G) …

System-level assessment of massive multiple-input–multiple-output and reconfigurable intelligent surfaces in centralized radio access network and IoT scenarios in …

JP Pavia, V Velez, N Souto, MM Silva, A Correia - Applied Sciences, 2024 - mdpi.com
In this article, we investigate in different scenarios the feasibility of using massive multiple-
input–multiple-output (mMIMO) with reconfigurable intelligent surfaces (RISs) to increase the …

Throughput based adaptive beamforming in 5G millimeter wave massive MIMO cellular networks via machine learning

S Lavdas, P Gkonis, Z Zinonos… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
In this paper the performance of an adaptive beamforming framework is evaluated, when
deployed in fifth-generation massive multiple-input multiple-output millimeter wave cellular …

Energy-efficient ground base station antenna array system for wireless back-hauling and two state charging of drone base stations

A Lahiry, KN Le, VNQ Bao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
A ground base station (GBS) antenna array system (AAS) geometry and feed technique are
proposed for 360° azimuth beam scan, elevation beam scan, azimuth beam-width control …

[PDF][PDF] Improved butterfly optimization algorithm for energy efficient antenna selection over wireless cellular networks

IM Vargas, C Luy-Montejo, L Alcaide-Aranda… - Journal of Wireless …, 2023 - jowua.com
The emergence of a new trajectory in wireless networks can be attributed to the assessment
of mobile devices and applications in the present decade. A recently developed approach …

Reconfigurable power divider-enabled dynamic hybrid m-MIMO transmitter

K Xu, J Hou, L Wang, S Sibio… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
A promising solution for massive Multiple-Input Multiple-Output (m-MIMO) systems is Hybrid
digital-analogue (HDA) beamforming as it offers a balanced trade-off between energy …

Spectral efficiency analysis of distributed millimeter wave massive MIMO system using spatial point processes

J Li, DW Yue - Digital Signal Processing, 2022 - Elsevier
This paper considers a downlink distributed millimeter wave massive multi-input multi-output
(D-mmMIMO) system, consisting of multiple randomly distributed radio access units (RAUs) …