Mass scale modeling and simulation of the air-interface load in 3g radio access networks

Authors:
Dejan Radosavljevik;Peter van der Putten;Kim Kyllesbech Larsen
Affiliations:
LIACS, Leiden University, Leiden, The Netherlands;LIACS, Leiden University, Leiden, The Netherlands;Deutsche Telecom AG, Bonn, Germany
Venue:
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Year:
2012

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Abstract

This paper outlines the approach developed together with the Radio Network Strategy & Design Department of a large telecom operator in order to forecast the Air-Interface load in their 3G network, which is used for planning network upgrades and budgeting purposes. It is based on large scale intelligent data analysis and modeling at the level of thousands of individual radio cells resulting in 100,000 models. It has been embedded into a scenario simulation framework that is used by end users not experienced in data mining for studying and simulating the behavior of this complex networked system.