Mobility Prediction Using Mobile User Profiles

In this paper we propose a new approach for mobility prediction. It is based on the notion of mobile-user profile which corresponds to frequent similar movements of a user. Such a profile is defined, in the neighbourhood graph of a cellular network, as a set of similar sequences of crossed cells fro...

Full description

Saved in:
Bibliographic Details
Published in2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems pp. 286 - 294
Main Authors Barth, D., Bellahsene, S., Kloul, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Base stations
Computer architecture
Graph theory
History
Markov chains
Markov processes
Mobile communication
Mobile computing
Mobile Networks
Mobility prediction techniques
Predictive models
Online AccessGet full text

Cover

More Information
Summary:In this paper we propose a new approach for mobility prediction. It is based on the notion of mobile-user profile which corresponds to frequent similar movements of a user. Such a profile is defined, in the neighbourhood graph of a cellular network, as a set of similar sequences of crossed cells from one source cell to one destination cell. We propose an algorithmic approach to identify such profiles from real cellular network datasets and we show how to use them for an efficient mobility prediction. Simulation results show that the global approach is significantly efficient in predicting both random and regular movements.
ISBN:9781457704680
1457704684
ISSN:1526-7539
2375-0227
DOI:10.1109/MASCOTS.2011.57