DocumentCode
3499009
Title
Estimate the Call Duration Distribution Parameters in GSM System Based on K-L Divergence Method
Author
Guo, Junqiang ; Liu, Fasheng ; Zhu, Zhiqiang
Author_Institution
Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
2988
Lastpage
2991
Abstract
This article analyses call duration probability density function and its parameters in GSM system. The sample data are obtained from an actual system, and the observed call duration is as long as 1800 seconds. K-L divergence method has been introduced to compare the goodness of candidate call duration probability density functions, and to estimate the parameters of three candidate probability density functions. Using these parameters, a day time hour performance of the GSM system is predicted. The comparison shows that lognormal distribution of call duration is more precise than exponential or Erlang distribution in the performance prediction in GSM system.
Keywords
cellular radio; log normal distribution; parameter estimation; Erlang distribution; GSM system; K-L divergence method; call duration distribution parameter estimation; lognormal distribution; probability density function; Educational institutions; Entropy; GSM; Information analysis; Parameter estimation; Probability density function; Probability distribution; Switches; Telephony; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.742
Filename
4340517
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