Three local search meta-heuristics for the Minimum Interference Frequency Assignment Problem (MI-FAP) in cellular networks,

Yasmine Lahsinat (1) , Dalila Boughaci (1) , Belaid Benhamou (2)

1 LRIA - Laboratoire de Recherche en Intelligence Artificielle [Alger]
2 LIRICA - Logique, Interaction, Raisonnement et Inférence, Complexité, Algèbre

The minimum interference frequency assignment problem (MI-FAP) plays an important role in cellular networks. MI-FAP is the problem of finding an assignment of a small number of frequencies to a large number of transceivers (TRXs) that minimizes the interferences level. The MI-FAP is known to be NP-Hard, thus it cannot be solved in polynomial time. To remedy this, researchers usually use meta-heuristic techniques to find an approximate solution in reasonable time. Here, the authors propose three meta-heuristics for the MI-FAP: a variable neighborhood search (VNS) and a stochastic local search (SLS) that are combined to obtain a third and a new one, which is called VNS-SLS. The SLS method is incorporated into the VNS process as a subroutine in order to enhance the solution quality. All three proposed methods are evaluated on some well-known datasets to measure their performance. The empirical experiments show that the proposed method VNS-SLS succeeds in finding good results compared to both VNS and SLS confirming a good balance between intensification and diversification.

Mots clés: Assignment Problem; Local Search Methods; Minimum Interference Frequency; Radio Network; Stochastic Local Search (SLS); Variable Neighbourhood Search (VNS); VNS-SLS

Domaines: Réseaux et télécommunications [cs.NI]

Yasmine Lahsinat, Dalila Boughaci, Belaid Benhamou. Three local search meta-heuristics for the Minimum Interference Frequency Assignment Problem (MI-FAP) in cellular networks,. International Journal of Applied Metaheuristic Computing, 2019, 10 (3), pp.134-150. ⟨10.4018/IJAMC.2019070107⟩. ⟨hal-02098923⟩