Range-Free Positioning in NB-IoT Networks by Machine Learning: Beyond W<inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>NN

Existing proposals for positioning in narrowband Internet of Things (NB-IoT) networks based on range estimation are characterized by either low accuracy or lack of compliance with 3GPP standards. While range-free approaches taking advantage of machine learning (ML) have been recently proposed as a p...

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Bibliographic Details

Published in:	IEEE Journal of Indoor and Seamless Positioning and Navigation
Main Authors:	Luca De Nardis, Marco Savelli, Giuseppe Caso, Federico Ferretti, Lorenzo Tonelli, Nadir Bouzar, Anna Brunstrom, Ozgu Alay, Marco Neri, Fouzia Elbahhar Bokour, Maria-Gabriella Di Benedetto
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Machine learning (ML) narrowband Internet of Things (NB-IoT) positioning weighted <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$k$</tex-math> </inline-formula> </named-content> </named-content> </named-content> </named-content> nearest neighbors (W<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$k$</tex-math> </inline-formula> </named-content>NN)
Online Access:	https://ieeexplore.ieee.org/document/10950079/