Centralized and distributed spectrum channel assignment in cognitive wireless networks: A Harmony Search approach

Javier Del Ser (Corresponding Author), Marja Matinmikko, Sergio Gil-López, Miia Mustonen

    Research output: Contribution to journalArticleScientificpeer-review

    40 Citations (Scopus)


    This paper gravitates on the spectrum channel allocation problem where each compounding node of a cognitive radio network is assigned a frequency channel for transmission over a given outgoing link, based on optimizing an overall network performance metric dependant on the level of interference among nearby nodes. In this context, genetically inspired algorithms have been extensively used so far for solving this optimization problem in a computationally efficient manner. This work extends previous preliminary research carried out by the authors on the application of the heuristic Harmony Search (HS) algorithm to this scenario by presenting further results and derivations on both HS-based centralized and distributed spectrum allocation techniques. Among such advances, a novel adaptive island-like distributed allocation procedure is presented, which dramatically decreases the transmission rate required for exchanging control traffic among nodes at a quantifiable yet negligible performance penalty. Extensive simulation results executed over networks of increasing size verify, on one hand, that our proposed technique achieves near-optimum spectral channel assignments at a low computational complexity. On the other hand, the obtained results assess that HS vastly outperforms genetically inspired allocation algorithms for the set of simulated scenarios. Finally, the proposed adaptive distributed allocation approach is shown to attain a control traffic bandwidth saving of more than 90% with respect to the naive implementation of a HS-based island allocation procedure.
    Original languageEnglish
    Pages (from-to)921-930
    JournalApplied Soft Computing
    Issue number2
    Publication statusPublished - 2012
    MoE publication typeA1 Journal article-refereed


    This work was partially funded by the Spanish Ministry of Science and Innovation through the CONSOLIDER-INGENIO 2010 (CSD200800010), the Torres-Quevedo (PTQ-09-01-00740, PTQ-06-01-0159) funding programs, by the Finnish Funding Agency for Technology and Innovation (TEKES) through the COGNAC project, and by the Academy of Finland through the SMAS project (decision number 134624).


    • Cognitive radio
    • genetic algorithm
    • Harmony Search
    • spectrum allocation


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