A Prediction-Based Spectrum Allocation Algorithm for Highway Mobility Model in Cognitive Radio Networks

Cognitive radio (CR) technology is proposed to solve the spectrum scarceness problem in future. In this paper, different from the previous researches, we pay attention to the mobile CR highway model chiefly. According to this model, a novel GM-based spectrum allocation scheme is presented based on Grey theory which regards the mobility of cognitive users. Simulation results show that compared with the existing graph-based channel assignment schemes, the new allocation scheme obtains more spectrums with the same parameters.