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 …

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

SE Trevlakis, AAA Boulogeorgos… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

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 …

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 …

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 …

Weighted adaptive KNN algorithm with historical information fusion for fingerprint positioning

H Zhang, Z Wang, W Xia, Y Ni… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
-nearest neighbors (KNN) algorithms are widely used for indoor fingerprint positioning, but
conventional KNN algorithms usually adopt received signal strength (RSS) similarity as a …

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 …

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 …

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 …

A cost-effective trilateration-based radio localization algorithm using machine learning and sequential least-square programming optimization

JPPG Marques, DC Cunha, LMF Harada… - Computer …, 2021 - Elsevier
Wireless communication systems play an essential role in everyday life situations and
enable a wide range of location-based services to their users. The imminent adoption of 5G …