A Survey of Spectrum Prediction Techniques for Cognitive Radio Networks
نویسندگان
چکیده
Cognitive radio networks provide an opportunity for unlicensed users (secondary users) to use the allocated spectrum band when not in use by legitimate users (primary users). To use a channel or spectrum, it is required to sense the channel for the presence of primary user which is called Spectrum Sensing. In order to reduce the sensing time of spectrum and to determine the state of the channel whether it is free or not in advance, spectrum prediction techniques can be used. In this paper, different techniques and learning models that can be applied to predict the state of spectrum band for the presence of primary user are discussed.
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