Title: | A cellular network database for fingerprint positioning systems |
---|
Authors: | ID Gubiani, Donatella (Author) ID Gallo, Paolo (Author) ID Viel, Andrea (Author) ID Dalla Torre, Andrea (Author) ID Montanari, Angelo (Author) |
Files: |
This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. |
---|
Language: | English |
---|
Work type: | Not categorized |
---|
Typology: | 1.08 - Published Scientific Conference Contribution |
---|
Organization: | UNG - University of Nova Gorica
|
---|
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 |
---|
Year of publishing: | 2019 |
---|
Number of pages: | 8 |
---|
PID: | 20.500.12556/RUNG-4582-1d0bc459-c1e7-6418-a412-f5b5a9473710 |
---|
COBISS.SI-ID: | 5452283 |
---|
NUK URN: | URN:SI:UNG:REP:KTPVEKNN |
---|
Publication date in RUNG: | 17.09.2019 |
---|
Views: | 4185 |
---|
Downloads: | 0 |
---|
Metadata: | |
---|
:
|
Copy citation |
---|
| | | Average score: | (0 votes) |
---|
Your score: | Voting is allowed only for logged in users. |
---|
Share: | |
---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |