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Genetic Tabu search for robust fixed channel assignment under dynamic traffic data

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Abstract

The contribution of this work is twofold. Firstly, we introduce a new channel assignment model for GSM radio networks. In this model both spatial and temporal variations of traffic are taken into account in order to improve network capacity and robustness. Secondly, using this model, we develop an original and effective hybrid algorithm to get high quality frequency plans. This algorithm combines a problem specific crossover and a Tabu search procedure. The proposed model and hybrid algorithm are evaluated using both artificial and real data. Computational results allow us to confirm the effectiveness of the proposed approach.

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Authors and Affiliations

  1. UFC, Laboratoire LIFC, 25200, Montbéliard, France

    Hakim Mabed

  2. UTBM, Laboratoire SET, 90010, Belfort cedex, France

    Alexandre Caminada

  3. LERIA, Université d’Angers, 2 boulevard Lavoisier, 49045, Angers cedex 01, France

    Jin-Kao Hao

Authors
  1. Hakim Mabed
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  2. Alexandre Caminada
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  3. Jin-Kao Hao
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Corresponding author

Correspondence to Jin-Kao Hao.

Additional information

A part of this work was carried out when the two first authors were with France Telecom R&D.

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Mabed, H., Caminada, A. & Hao, JK. Genetic Tabu search for robust fixed channel assignment under dynamic traffic data. Comput Optim Appl 50, 483–506 (2011). https://doi.org/10.1007/s10589-010-9376-9

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  • DOI: https://doi.org/10.1007/s10589-010-9376-9

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