Abstract

In this work we study a particular way of dealing with interference in combinatorial optimization models representing wireless communication networks. In a typical wireless network, co-channel interference occurs whenever two overlapping antennas use the same frequency channel, and a less critical interference is generated whenever two overlapping antennas use adjacent channels. This motivates the formulation of the minimum-adjacency vertex coloring problem which, given an interference graph G representing the potential interference between the antennas and a set of prespecified colors/channels, asks for a vertex coloring of G minimizing the number of edges receiving adjacent colors. We propose an integer programming model for this problem and present three families of facet-inducing valid inequalities. Based on these results, we implement a branch-and-cut algorithm for this problem, and we provide promising computational results.

Highlights

  • We are interested in a combinatorial optimization problem arising from frequency assignment problems in wireless communication networks, that was motivated by the types of interference generated in GSM mobile phone networks [1]

  • We have performed a polyhedral study of an integer programming formulation for this problem, presenting three facet-inducing families of valid inequalities

  • The instances we are able to solve to optimality are far from being real-size instances, we believe that the results presented in this work may contribute to future developments for the practical solution of frequency assignment problems

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Summary

Introduction

We are interested in a combinatorial optimization problem arising from frequency assignment problems in wireless communication networks, that was motivated by the types of interference generated in GSM mobile phone networks [1]. We are interested in the polyhedral structure generated by such a combinatorial optimization problem, which includes a graph coloring structure with additional considerations on adjacent channels/colors. Based on these observations, we introduce in this work the minimumadjacency vertex coloring problem, present an initial polyhedral study and, based on these results, implement a branch-andcut algorithm for this problem.

Problem formulation and integer programming model
Alternative formulations
Polyhedral study
Consecutive colors clique inequalities
Consecutive colors inner clique inequalities
Consecutive colors subset clique inequalities
Formulation and valid inequalities
Separation procedures
Separation of the MCCK inequalities
Additional techniques
Computational experiments
Findings
Conclusions and future work
Full Text
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