Cells Interrelation in Mobile Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00335948" target="_blank" >RIV/68407700:21230/19:00335948 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-21952-9_19" target="_blank" >http://dx.doi.org/10.1007/978-3-030-21952-9_19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-21952-9_19" target="_blank" >10.1007/978-3-030-21952-9_19</a>
Alternative languages
Result language
angličtina
Original language name
Cells Interrelation in Mobile Networks
Original language description
To better optimize a mobile network, it’s useful to have knowledge about the movement of users in the network. This can relatively easily be done via sending GPS coordinates calculated in a mobile terminal to network. However, this approach is, first of all, quite energy demanding, and secondly user dependent, as a user has to pose a mobile terminal supporting GPS and has to allow the usage of GPS. Another possibility is to make use of signaling data which is an essential and integral part of mobile network operations, plus it’s more or less user independent. By combining the signaling data together with the network coverage map, we can estimate users’ movements in the network. In this paper, we focus on cells interrelation in a network coverage map. We present a simplified cell graphical representation, using a so-called cell-vector, and we analyze the possible use of cell-vector position scenarios to predict whether a pair of cells are neighboring each other or not.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
26th International Science Conference on Computer Networks
ISBN
978-3-030-21951-2
ISSN
1865-0929
e-ISSN
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Number of pages
14
Pages from-to
242-255
Publisher name
Springer
Place of publication
Cham
Event location
Kamień Śląski
Event date
Jun 25, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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