Uncertainty Quantification of 5G Positioning as a Location Data Analytics Function-Reference-Cited by-同舟云学术

Uncertainty Quantification of 5G Positioning as a Location Data Analytics Function

Published:2022-06-07 Issue: Volume: Page:
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Container-title:2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
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Author:

Bartoletti Stefania¹,Bernini Giacomo²,Palama Ivan³,Angelis Michael De²,Monteforte Lorenzo Maria²,Kennouche Takai Eddine⁴,Tsagkaris Kostas⁵,Bianchi Giuseppe³,Melazzi Nicola Blefari³

Affiliation:

1. CNR-IEIIT and CNIT,Bologna,Italy

2. Nextworks,Pisa,Italy

3. University of Rome Tor Vergata and CNIT,Rome,Italy

4. VIAVI Solutions,Saint-Etienne,France

5. Incelligent/WINGS,Athens,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9815454/9815565/09815708.pdf?arnumber=9815708

Reference15 articles.

1. Improving position MSE estimation for biased estimators without true position knowledge

2. Uncertainty in Position Estimation Using Machine Learning

3. Architecture enhancements for 5G System (5GS) to support network data analytics services;3GPP Technical Specification (TS),2021

4. Containers and Cloud: From LXC to Docker to Kubernetes

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