ǂA ǂcellular network database for fingerprint positioning systems

Donatella Gubiani (Author), P. Gallo (Author), Andrea Viel (Author), Andrea Dalla Torre (Author), Angelo Montanari (Author)

Abstract

Besides being a fundamental infrastructure for communication, cellular networks are increasingly exploited for positioning via signal fingerprinting. Here, we focus on cellular signal fingerprinting, where an accurate and comprehensive knowledge of the network is fundamental. We propose an original multilevel database for cellular networks, which can be automatically updated with new fingerprint measurements and makes it possible to execute a number of meaningful analyses. In particular, it allows one to monitor the distribution of cellular networks over countries, to determine the density of cells in different areas, and to detect inconsistencies in fingerprint observations.

Keywords

cellular network;signal fingerprinting;multilevel database;data analysis;

Data

Language:	English
Year of publishing:	2019
Typology:	1.08 - Published Scientific Conference Contribution
Organization:	UNG - University of Nova Gorica
UDC:	004
COBISS:	5452283
ISSN:	1865-0929
Views:	2710
Downloads:	0
Average score:	0 (0 votes)
Metadata:

Other data

URN:	URN:SI:UNG
Type (COBISS):	Not categorized
Pages:	Str. 111-119
DOI:	10.1007/978-3-030-30278-8_14
ID:	11226887