Combined polynomial prediction and max-min fair bandwidth redistribution in Ethernet passive optical networks

I. Mamounakis, K. Yiannopoulos, G. Papadimitriou, E. Varvarigos

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review


In this paper we discuss optical network unit (ONU) based traffic prediction in Ethernet passive optical networks (EPONs). The technique utilizes least-mean-square polynomial regression for the estimation of incoming traffic and adaptive least-mean-squares filtering for the estimation of the EPON cycle duration. Given these estimates, the ONU successfully predicts its bandwidth requirements at the next available transmission opportunity and communicates this prediction, rather than its actual buffer occupancy, to the optical line terminal (OLT). The proposed scheme is assessed via simulations and it is demonstrated that a delay improvement of 30% can be achieved without modifying the dynamic bandwidth assignment process at the OLT. In addition, we further explore aspects of traffic prediction combined with a max-min fair bandwidth redistribution scheme at the OLT. Initial results show that the combination of the ONU-based prediction and the OLT-based fair bandwidth redistribution further improves the delay.

Original languageEnglish
Title of host publicationE-Business and Telecommunications
Subtitle of host publication11th International Joint Conference, ICETE 2014 Vienna, Austria, August 28–30, 2014, Revised Selected Papers
EditorsMohammad S. Obaidat, Andreas Holzinger, Joaquim Filipe
Place of PublicationCham Switzerland
Number of pages17
ISBN (Electronic)9783319259154
ISBN (Print)9783319259147
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


  • Prediction
  • Ethernet passive optical network
  • Polynomial prediction
  • Dynamic bandwidth allocation
  • Max-Min fairness
  • Delay

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