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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 …
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
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) …
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
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 …
in fifth-generation millimeter-wave multicellular networks, where massive multiple-input …
Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks
In this paper, a deep learning integrated reinforcement learning (DLIRL) algorithm is
proposed for comprehending intelligent beamsteering in Beyond Fifth Generation (B5G) …
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 …
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 …
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
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 …
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 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 …
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 …
of mobile devices and applications in the present decade. A recently developed approach …
Reconfigurable power divider-enabled dynamic hybrid m-MIMO transmitter
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 …
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) …
(D-mmMIMO) system, consisting of multiple randomly distributed radio access units (RAUs) …