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- W2281155075 abstract "Cognitive radio is the technique of effective electromagnetic spectrum usage important for future wireless communication including 5G networks. Neural networks are nature-inspired computational models used to solve cognitive radio prediction problems. This paper presents the use of contextual Sigma-if neural network in prediction of channel states for cognitive radio. Our results indicate that Sigma-if neural network confirms better predictions than Multilayer Perceptron (MLP) network and decreases sensing time for the benefit of the increase of the effectiveness of e-m spectrum usage." @default.
- W2281155075 created "2016-06-24" @default.
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- W2281155075 date "2015-07-01" @default.
- W2281155075 modified "2023-10-16" @default.
- W2281155075 title "Contextual neural-network based spectrum prediction for cognitive radio" @default.
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- W2281155075 doi "https://doi.org/10.1109/fgct.2015.7393278" @default.
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