DocumentCode :
2482239
Title :
Automatic selection of window add in a WCDMA radio network based on cost function minimization
Author :
Flanagan, Adrian ; Novosad, Tomas
Author_Institution :
Nokia Group, Nokia Res. Center, Espoo, Finland
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
672
Abstract :
WCDMA networks have many parameters which determine their performance. Ensuring a desired quality of service means a proper choice of parameters. One approach to choosing these parameters automatically is to minimize a cost function with respect to these parameters. The minimum of the cost function corresponds to an optimal network performance. The choice of cost function, in the simplest case can be some combination of key performance indicators (KPIs) of the network. Here a cost function is described which can be used to minimize the value of one of these KPIs, the call blocking rate in the network. A second order gradient method is derived which is used to minimize the cost function. The cost function and gradient algorithm are implemented on an advanced WCDMA radio network simulator to optimize the value of the soft handover parameter window add.
Keywords :
3G mobile communication; broadband networks; code division multiple access; gradient methods; minimisation; multiuser channels; quality of service; radio networks; WCDMA radio network; WCDMA radio network simulator; automatic selection; call blocking rate; cost function minimization; gradient algorithm; key performance indicators; optimal network performance; quality of service; second order gradient method; soft handover parameter; third generation mobile networks; window add; Automatic control; Convergence; Cost function; Fluctuations; Intelligent networks; Monitoring; Multiaccess communication; Radio network; Robustness; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spread Spectrum Techniques and Applications, 2002 IEEE Seventh International Symposium on
Print_ISBN :
0-7803-7627-7
Type :
conf
DOI :
10.1109/ISSSTA.2002.1049344
Filename :
1049344
Link To Document :
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