DocumentCode :
1738572
Title :
Mobile network traffic forecasting
Author :
Darwood, Peter ; Oppermann, Ian ; Jakas, Steve ; Linton, Warren
Author_Institution :
Southern Poro Commun., Annandale, NSW, Australia
Volume :
6
fYear :
2000
fDate :
2000
Firstpage :
2932
Abstract :
This paper deals with network traffic prediction for the purposes of managing the mobile network through the process of maturation. As traffic levels increase the requirements on network resources become stretched to the point that grade of service (GoS) requirements are not met. The solution to this is the deployment of additional network hardware be it transceivers, underlay cells, or new macro or micro cellular installations. The tool presented in this paper can accurately predict areas of low GoS, or future `hot-spots´, in a multidimensional manner (for instance to allow for different management or billing strategies) and indicate the appropriate hardware deployment plans required
Keywords :
cellular radio; quality of service; telecommunication network management; telecommunication network planning; telecommunication traffic; GSM network planning; GoS requirements; billing; grade of service; hardware deployment plans; hot-spots; macrocellular installations; microcellular installations; mobile network management; mobile network traffic forecasting; network hardware; network resources; network traffic prediction; transceivers; underlay cells; Australia; Base stations; Cellular networks; Dual band; GSM; Hardware; Mobile communication; Mobile handsets; Telecommunication traffic; Transceivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd
Conference_Location :
Boston, MA
ISSN :
1090-3038
Print_ISBN :
0-7803-6507-0
Type :
conf
DOI :
10.1109/VETECF.2000.886853
Filename :
886853
Link To Document :
بازگشت