DocumentCode
1734151
Title
Wireless usage analysis for capacity planning and beyond: a data warehouse approach
Author
Tan, Ming ; Lee, Johnson ; Xu, Hao ; Introne, J. ; Matheus, Chris
Author_Institution
GTE Labs. Inc., Waltham, MA, USA
fYear
2000
fDate
6/22/1905 12:00:00 AM
Firstpage
905
Lastpage
917
Abstract
The analysis of network traffic and customer usage patterns is critical for the network operation, capacity planning and targeted marketing of the cellular industry. This data analysis task presents both an opportunity and a challenge for data warehousing technology because of the huge amount of wireless calling data and the dynamic nature of the usage reports. We have developed a data-warehousing system to address the issues of both the performance and the flexibility of the usage analysis reports. Our system collects traffic data from a wireless network and provides the following functionalities: basic reporting, dynamic modeling, customer profiling and usage forecasting. This paper focuses on the usage analysis reporting for the traffic by an individual customer or a group of customers on a subset of a network or the network as a whole. Based on the traffic usage, it describes three different usage forecasting models for capacity planning. A combined application of data warehousing and statistical analysis to a customer calling plan selection is also presented
Keywords
cellular radio; data analysis; data warehouses; statistical analysis; telecommunication computing; telecommunication network planning; telecommunication traffic; basic reporting; capacity planning; cellular industry; customer calling plan selection; customer profiling; customer usage patterns; data analysis; data warehouse; dynamic modeling; network traffic; statistical analysis; usage forecasting; wireless usage analysis; Capacity planning; Cellular networks; Data analysis; Pattern analysis; Performance analysis; Predictive models; Telecommunication traffic; Traffic control; Warehousing; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium, 2000. NOMS 2000. 2000 IEEE/IFIP
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-5928-3
Type
conf
DOI
10.1109/NOMS.2000.830437
Filename
830437
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