A Spectrum Access Method in Cognitive Radio Networks Based on Machine Learning
A cognitive radio and spectrum access technology, applied in the field of spectrum access, which can solve the problems of not considering how to correctly perceive the status of licensed frequency bands, large infrastructure deployment and maintenance, and taking a certain amount of time.
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[0066] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0067] like figure 1 As shown, the present invention relates to a spectrum access method in a cognitive radio network based on machine learning. This spectrum access method is based on the fuzzy Q-learning method. Cognitive radio users can finally infer the real state of the channel and choose the best spectrum access method according to the state of the channel through continuous learning of each channel in the cognitive radio network. Among them, the state of the channel is determined by the channel availability probability. A channel is usable only if the channel is not occupied by authorized users and is not attacked by malicious attackers. The basic elements in the fuzzy Q-learning meth...
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