[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 …

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 …

A survey on 5G massive MIMO localization

F Wen, H Wymeersch, B Peng, WP Tay, HC So… - Digital Signal …, 2019 - Elsevier
Massive antenna arrays can be used to meet the requirements of 5G, by exploiting different
spatial signatures of users. This same property can also be harnessed to determine the …

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 …

An overview on position location: Past, present, future

S Zekavat, RM Buehrer, GD Durgin, L Lovisolo… - International journal of …, 2021 - Springer
Prior to the 21st century, positioning technologies had limited applications including air
traffic control, air and sea navigation, satellite communications and related military uses …

A deep learning approach to position estimation from channel impulse responses

A Niitsoo, T Edelhäußer, E Eberlein, N Hadaschik… - Sensors, 2019 - mdpi.com
Radio-based locating systems allow for a robust and continuous tracking in industrial
environments and are a key enabler for the digitalization of processes in many areas such …

[PDF][PDF] Weight and Structure Determination Neural Network Aided With Double Pseudoinversion for Diagnosis of Flat Foot.

L Chen, Z Huang, Y Li, N Zeng, M Liu, A Peng, L ** - Ieee Access, 2019 - researchgate.net
Deep learning models often have complicated struc-tures with low computational speed and
the requirement of a large amount of storage space, which limits their own practical …

[HTML][HTML] Confidence interval estimation for fingerprint-based indoor localization

M Nabati, SA Ghorashi, R Shahbazian - Ad Hoc Networks, 2022 - Elsevier
Fingerprint-based localization methods provide high accuracy location estimation, which
use machine learning algorithms to recognize the statistical patterns of collected data. In …

Machine-learning assisted outdoor localization via sector-based fog massive MIMO

H Pirzadeh, C Wang… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Gains in area spectral efficiency have been recently demonstrated in networks of large-
antenna arrays by means of fog massive MIMO operation and virtual sector-based …

A general-purpose distributed analytic platform based on edge computing and computational intelligence applied on smart grids

JI Guerrero, A Martín, A Parejo, DF Larios, FJ Molina… - Sensors, 2023 - mdpi.com
Currently, in many data landscapes, the information is distributed across various sources
and presented in diverse formats. This fragmentation can pose a significant challenge to the …