Search
Abstract
Modeling phenomena influencing radiocommunication networks, such as 5G-NR, is a key aspect during their development and further optimization. In this paper, one proposes a model, for three different scenario types in urban environments, for user localization accuracy. The model is supported by measurements of real 5G-NR downlink signals carried out in three different urban environments, corresponding to the typical user localization. The main goal of the paper is to present a model for estimating the relation between the environment type, i.e., its statistical parameters, and the estimated localization accuracy in outdoor, light-indoor and deep-indoor environments. Results show that the localization accuracy may degrade from 5 to 295 m when the localization process is performed, just by moving the terminal from outside a building to its inside. This can make the localization service invalid, not only from a user-related perspective but also as a method to adjust beamforming parameters in downlink.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (4)
-
Luis M. Correia
-
Pedro Tareco
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
IEEE Access
no. 13,
pages 49050 - 49061,
ISSN: 2169-3536 - Language:
- English
- Publication year:
- 2025
- Bibliographic description:
- Rajchowski P., Correia L. M., Tareco P., Cwalina K.: Modeling 5G-NR-Based Positioning Accuracy in Urban Environments// IEEE Access -Vol. 13, (2025), s.49050-49061
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/access.2025.3551841
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
seen 0 times
Recommended for you
An Off-Body Channel Model for Body Area Networks in Indoor Environments
- S. Ambroziak,
- L. M. Correia,
- R. Katulski
- + 4 authors