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A Novel Solution to the Cognitive Radio Decision Engine Based on Improved Multi-Objective Artificial Bee Colony Algorithm and Fuzzy Reasoning



Targeting at the parameters reconfiguration of a cognitive radio system, a novel cognitive decision engine (CDE), based on an improved multi-objective artificial bee colony (IMOABC) algorithm and fuzzy reasoning, is proposed. First, a group of Pareto optimal solutions were obtained by applying IMOABC to solve CDE, and an optimal solution that meets user needs was selected by fuzzy reasoning. Such IMOABC algorithm was integrated into society cognitive strategies. New production and preservation mechanisms of individuals and parallel hybrid coding and multi-dimensional evolution strategies are evaluated. The proposed algorithm was evaluated on a set of standard test functions. Combined with the multi-carrier communication system, the simulation experiments are performed for reconfiguring of the physical layer parameters, and the results are able to satisfy user needs.



Total Pages: 9
Pages: 643-651


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Volume: 23
Issue: 4
Year: 2017

Cite this document


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ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
PREVIOUS DOI PREFIX (with T&F): 10.1080/10798587
InCites Journal IMPACT FACTOR (JIF) Data

2018  0.790
2017  0.652
2016  0.644

Scimago Journal and Country Rank (SJR) Data

2018  0.993
2017  0.655
2016  0.660
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."

Journal: 1995-Present


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