An adaptive multi-start graph partitioning algorithm for structuring cellular networks

  • Authors:
  • Matías Toril;Volker Wille;Iñigo Molina-Fernández;Chris Walshaw

  • Affiliations:
  • Communications Engineering Dept., University of Málaga, Málaga, Spain 29010;Performance Services, Nokia Siemens Networks, Huntingdon, UK;Communications Engineering Dept., University of Málaga, Málaga, Spain 29010;School of Computing and Mathematical Sciences, University of Greenwich, London, UK

  • Venue:
  • Journal of Heuristics
  • Year:
  • 2011

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Abstract

In mobile network design, the problem of assigning network elements to controllers when defining network structure can be modeled as a graph partitioning problem. In this paper, a comprehensive analysis of a sophisticated graph partitioning algorithm for grouping base stations into packet control units in a mobile network is presented. The proposed algorithm combines multi-level and adaptive multi-start schemes to obtain high quality solutions efficiently. Performance assessment is carried out on a set of problem instances built from measurements in a live network. Overall results confirm that the proposed algorithm finds solutions better than those obtained by the classical multi-level approaches and much faster than classical multi-start approaches. The analysis of the optimization surface shows that the best local minima values follow a Gumbel distribution, which justifies the stagnation of naive multi-start approaches after a few attempts. Likewise, the analysis shows that the best local minima share strong similarities, which is the reason for the superiority of adaptive multi-start approaches. Finally, a sensitivity analysis shows the best internal parameter settings in the algorithm.