Abstract
Cognitive radio decision engine based on CMOPSO is proposed. Through the introduction of external species, adaptive mutation, adaptive grid method, multi-objective particle swarm optimization is improved. Multi-objective functions to be optimized are derived. CMOPSO is used to adjust and optimize the radio parameters. MATLAB-Simulink simulation is used to analyze the performance of algorithm. The correctness and effectiveness of the module of multi-objective particle swarm optimization is shown. © 2011 Springer-Verlag Berlin Heidelberg.
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Teng, Z., Li, Z., Wang, N., Li, X., & Zhao, L. (2011). Cognitive radio decision engine based on CMOPSO. In Advances in Intelligent and Soft Computing (Vol. 110, pp. 701–705). https://doi.org/10.1007/978-3-642-25185-6_89
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