[HTML][HTML] Positioning in 5g and 6g networks—a survey

F Mogyorósi, P Revisnyei, A Pašić, Z Papp, I Törös… - Sensors, 2022 - mdpi.com
Determining the position of ourselves or our assets has always been important to humans.
Technology has helped us, from sextants to outdoor global positioning systems, but real …

A systematic review of localization in WSN: Machine learning and optimization‐based approaches

P Yadav, SC Sharma - International Journal of Communication …, 2023 - Wiley Online Library
In recent years, wireless sensor networks (WSNs) have been widely used in various
applications. The localization problem has been identified as one of the biggest problems …

Performance analysis of fingerprinting indoor positioning methods with BLE

FJ Aranda, F Parralejo, FJ Álvarez… - Expert Systems with …, 2022 - Elsevier
Indoor positioning with smartphone-compatible technologies has fostered much research
attention in recent years. In this context, Bluetooth Low Energy (BLE) reveals a good …

CSI-based multi-antenna and multi-point indoor positioning using probability fusion

E Gönültaş, E Lei, J Langerman… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Channel state information (CSI)-based fingerprinting via neural networks (NNs) is a
promising approach to enable accurate indoor and outdoor positioning of user equipment …

Machine learning based approach for indoor localization using ultra-wide bandwidth (UWB) system for industrial internet of things (IIoT)

F Che, A Ahmed, QZ Ahmed, SAR Zaidi… - … Conference on UK …, 2020 - ieeexplore.ieee.org
With the rapid development of wireless communication technology and the emergence of
the Industrial Internet of Things (IIoT) s applications, high-precision Indoor Positioning …

[HTML][HTML] Application of machine learning in electromagnetics: Mini-review

MSI Sagar, H Ouassal, AI Omi, A Wisniewska… - Electronics, 2021 - mdpi.com
As an integral part of the electromagnetic system, antennas are becoming more advanced
and versatile than ever before, thus making it necessary to adopt new techniques to …

A survey of machine learning in pedestrian localization systems: Applications, open issues and challenges

VF Mirama, LE Diez, A Bahillo, V Quintero - IEEE Access, 2021 - ieeexplore.ieee.org
With the popularization of machine learning (ML) techniques and the increased chipset's
performance, the application of ML to pedestrian localization systems has received …

An overview of massive MIMO localization techniques in wireless cellular networks: Recent advances and outlook

O Alamu, B Iyaomolere, A Abdulrahman - Ad Hoc Networks, 2021 - Elsevier
The massive multiple-input-multiple-output (mMIMO) antenna systems are well known for
their capability to achieve high spectral efficiency in wireless communication systems thanks …

Jointly beam stealing attackers detection and localization without training: an image processing viewpoint

Y Yang, X Wei, R Xu, W Wang, L Peng… - Frontiers of Computer …, 2023 - Springer
Recently revealed beam stealing attacks could greatly threaten the security and privacy of
IEEE 802.11 ad communications. The premise to restore normal network service is detecting …

Compact quad-band CP series-fed circular slit microstrip array antenna using machine learning

B Maity, SK Nayak - IEEE Access, 2022 - ieeexplore.ieee.org
This article presents the design and characterization of a dual-band, compact, and dual-
circularly polarized (CP) traveling wave series-fed circular slit microstrip array (TWSCSMA) …