FUNCTIONAL MODELLING OF TELECOMMUNICATIONS DATA

FUNCTIONAL MODELLING OF TELECOMMUNICATIONS DATA

This work deals with statistical modeling and forecasting of telecommunications data. Main mobile traffic events (SMS, Voice calls, Mobile data) are smoothed using B-spline functions and later analyzed in a functional framework. Functional linear auto-regression models are fitted using both bottom-u...

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Veröffentlicht in:Mathematical modelling and analysis 2022-02, Vol.27 (1), p.117-133
Hauptverfasser: Birbilas, Algimantas, Račkauskas, Alfredas
Format: Artikel
Sprache:eng
Schlagworte:
B spline functions
Business models
Cell phones
Communications networks
Consumers
Data analysis
Forecasting
functional data analysis
functional linear regression
Functionals
Information management
Mathematical functions
prediction
Regression models
Short message service
Statistical analysis
Statistical models
Telecommunications
telecommunications data
Time series
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Beschreibung
Zusammenfassung:This work deals with statistical modeling and forecasting of telecommunications data. Main mobile traffic events (SMS, Voice calls, Mobile data) are smoothed using B-spline functions and later analyzed in a functional framework. Functional linear auto-regression models are fitted using both bottom-up and topdown design methodologies. The advantages and disadvantages of both approaches for the prediction of mobile telephone users’ habits are discussed.
ISSN:1392-6292
1648-3510
DOI:10.3846/mma.2022.14043