Dealing with network changes in cellular fingerprint positioning systems

Andrea Viel (Author), Donatella Gubiani (Author)

Abstract

Besides being a fundamental infrastructure for communication, cellular networks are exploited for positioning through signal fingerprinting. Maintaining the fingerprint database consistent and up-to-date is a challenging task in many fingerprint positioning systems, e.g., in those populated by a crowd-sourcing effort. To this end, detecting and tracking the changes in the configurations of cellular networks over time is recognized as a relevant problem. In this paper, we show that to cope with this problem we can successfully exploit information provided by Timing Advance (TA). As a by-product, we prove that TA can improve the fingerprint candidate selection phase, reducing the number of fingerprints to provide as input to positioning algorithms. The effectiveness of the proposed improvements has been tested on a fingerprint positioning system with a large fingerprint dataset collected over a period of 2 years.

Keywords

fingerprint positioning systems;cellular communication networks;network changes;

Data

Language:	English
Year of publishing:	2017
Typology:	1.08 - Published Scientific Conference Contribution
Organization:	UNG - University of Nova Gorica
UDC:	004
COBISS:	5167355
ISSN:	2325-0771
Views:	3263
Downloads:	0
Average score:	0 (0 votes)
Metadata:

Other data

URN:	URN:SI:UNG
Type (COBISS):	Not categorized
Pages:	Str. 1-6
DOI:	10.1109/ICL-GNSS.2017.8376255
ID:	10941088