FUNCTIONAL MODELLING OF TELECOMMUNICATIONS DATA-Reference-Cited by-同舟云学术

FUNCTIONAL MODELLING OF TELECOMMUNICATIONS DATA

Published:2022-02-07 Issue:1 Volume:27 Page:117-133
ISSN:1392-6292
Container-title:Mathematical Modelling and Analysis
language:
Short-container-title:

Author:

Birbilas Algimantas¹^ORCID,Račkauskas Alfredas¹^ORCID

Affiliation:

1. Vilnius University, Institute of Applied Mathematics, Naugarduko g. 24, LT-03225 Vilnius, Lithuania

Abstract

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.

Publisher

Vilnius Gediminas Technical University

Subject

Modeling and Simulation,Analysis

Reference20 articles.

1. Re-identification and information fusion between anonymized CDR and social network data

2. Asymptotic normality of the Nadaraya–Watson estimator for nonstationary functional data and applications to telecommunications

3. P. Bernard. Analyse de signaux physiologiques. Memoire Univ. Catholique Angers, 1997.

4. Approximation spline de la prévision d'un processus fonctionnel autorégressif d'ordre 1

5. Autoregressive Forecasting of Some Functional Climatic Variations

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Change-Point Detection in Functional First-Order Auto-Regressive Models;Mathematics;2024-06-18

2. Transforming Telecom Revenue- The impact of OTT Service;2023-06-26

3. Forecasting hourly electricity demand with nonparametric functional data analysis;Procedia Computer Science;2022