Predicting User-Cell Association in Cellular Networks from Tracked Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158282" target="_blank" >RIV/68407700:21230/09:00158282 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Predicting User-Cell Association in Cellular Networks from Tracked Data
Original language description
We consider the problem of predicting user location in the form of user-cell association in a cellular wireless network. This is motivated by resource optimization, for example switching base transceiver stations on or off to save on network energy consumption.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mobile Entity Localization and Tracking in GPS-less Environnments
ISBN
978-3-642-04378-9
ISSN
0302-9743
e-ISSN
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Number of pages
15
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Orlando
Event date
Sep 30, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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