Robust identification algorithm for traffic models in telecommunications

Omar Ait-Hellal, Eitan Altman, M Tamer Basar

Research output: Contribution to journalConference articlepeer-review

Abstract

A robust identification algorithm for the parameters of AR stochastic processes is presented. This technique often leads to better performance when the noise is correlated and/or nonstationary, and it is more robust to modeling imprecisions. The algorithm is used to analyze telecommunication traffic data, mainly video traffic (VBR) in ATM networks.

Original languageEnglish (US)
Pages (from-to)3071-3076
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume3
StatePublished - Dec 1 1999
Externally publishedYes
EventThe 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA
Duration: Dec 7 1999Dec 10 1999

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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