DocumentCode :
1550691
Title :
Evaluation of methods for determining the mobile traffic distribution in cellular radio networks
Author :
Collmann, Ralf R.
Author_Institution :
Fachbereich Elektrotechnik, HTW Dresden, Germany
Volume :
50
Issue :
6
fYear :
2001
fDate :
11/1/2001 12:00:00 AM
Firstpage :
1629
Lastpage :
1635
Abstract :
Locating the mobile traffic distribution is performed by comparing measured field strength samples with predicted field strength values from a radio network planning tool. The convergence of three approaches has been investigated: standard deviation method, least mean squares method, and Gauss probability method. Improvements like call-by-call evaluation have been introduced to reduce the calculation time and to improve the accuracy of the statistical evaluation of the mobile traffic distribution. The methods were verified using field-strength samples and corresponding position data of field measurements made with a vehicle within a mobile network. It has been shown that the accuracy of determining the mobile traffic distribution in this way strongly depends on the reliability of field strength predictions made by a radio network planning tool. With the methods presented, the creation of traffic databases with a high resolution and the detection of mobile network areas with high traffic load-so-called hot spots-becomes possible
Keywords :
cellular radio; convergence of numerical methods; least mean squares methods; probability; radio direction-finding; radio networks; statistical analysis; telecommunication network planning; telecommunication traffic; Gauss probability method; cellular radio networks; high traffic load-so; hot spots; least mean squares method; measured field strength samples; mobile network; mobile position detection; mobile traffic distribution; predicted field strength values; radio network planning tool; standard deviation method; statistical evaluation; traffic databases; Convergence; Databases; Gaussian processes; Least mean squares methods; Performance evaluation; Position measurement; Probability; Radio network; Telecommunication traffic; Vehicles;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/25.966591
Filename :
966591
Link To Document :
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