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An approach to robust network design in telecommunications

Authors :
Adam Ouorou
Georgios Petrou
Claude Lemaréchal
France Télécom Recherche & Développement (FT R&D)
France Télécom
Modelling, Simulation, Control and Optimization of Non-Smooth Dynamical Systems (BIPOP)
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK)
Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK)
Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)
Source :
RAIRO-Operations Research, RAIRO-Operations Research, EDP Sciences, 2007, 41 (4), pp.411-426. ⟨10.1051/ro:2007033⟩, RAIRO-Operations Research, 2007, 41 (4), pp.411-426. ⟨10.1051/ro:2007033⟩
Publication Year :
2007
Publisher :
EDP Sciences, 2007.

Abstract

International audience; In telecommunications network design, one of the most frequent problems is to adjust the capacity on the links of the network in order to satisfy a set of requirements. In the past, these requirements were demands based on historical data and/or demographic predictions. Nowadays, because of new technology development and customer movement due to competitiveness, the demands present considerable variability. Thus, network robustness w.r.t demand uncertainty is now regarded as a major consideration. In this work, we propose a min-max-min formulation and a methodology to cope with this uncertainty. We model the uncertainty as the convex hull of certain scenarios and show that cutting plane methods can be applied to solve the underlying problems. We will compare Kelley, Elzinga-Moore and bundle methods.

Details

ISSN :
12903868 and 03990559
Volume :
41
Database :
OpenAIRE
Journal :
RAIRO - Operations Research
Accession number :
edsair.doi.dedup.....60b47e8a950cf0afe71f7f2309a7aa6b