DocumentCode :
258598
Title :
Exploring spatial relationships and identifying influential nodes in cellular networks
Author :
Carolan, Emmett ; McLoone, Seamus C. ; Farrell, Ronan
Author_Institution :
Callan Inst., Nat. Univ. of Ireland Maynooth (NUIM), Kildare, Ireland
fYear :
2013
fDate :
26-27 June 2013
Firstpage :
245
Lastpage :
250
Abstract :
This work provides an up to date measurement-driven examination of the spatial characteristics of network resource usage. The data set used is from a large nationwide 3G cellular network comprised of several thousand base stations. Firstly, we discuss our data set and its potential application. Next, we examine the spatial correlation between base stations in terms of radio resource usage. We find significant spatial correlation, particularly for proximate base stations. We examine the causality structure in the network using Granger causality to identify key influential indicator base stations within sub-networks. These indicator base stations act as hubs in the wider network and provide additional information about the future states of their neighbors. The penultimate section examines the influential indicator base stations in more detail. Finally, we conclude with a brief discussion of the key points and how we aim to progress this work.
Keywords :
3G mobile communication; cellular radio; resource allocation; 3G cellular network; Granger causality; influential nodes; network resource usage; radio resource usage; spatial relationships; CDR; cellular networks; network dynamics; resource usage; spatial usage;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Irish Signals & Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communications Technologies (ISSC 2014/CIICT 2014). 25th IET
Conference_Location :
Limerick
Type :
conf
DOI :
10.1049/cp.2014.0693
Filename :
6912764
Link To Document :
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