Spectrum measurement modelling and prediction based on wavelets. Issue 16 (1st November 2016)

• Record Type: Journal Article
• Authors: Chen, Yunfei; Oh, Hee‐Seok
• Is Part Of: IET communications. Volume 10:Issue 16(2016)
• Page Start: 2192
• Page End: 2198
• Publication Date: 2016-11-01
• Subjects: cognitive radio -- wavelet transforms; spectrum measurement modelling method -- frequency bands -- Daubechies wavelets -- cognitive radios; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2016.0035
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : In this study, a new spectrum measurement modelling method is proposed for several important frequency bands by using the Daubechies wavelets. On the basis of this method, spectrum measurement prediction is also proposed by using regression. Unlike most previous works that model or predict the occupancy rate of the frequency band of interest, this study models and predicts the power measurements directly to remove the dependence of the model on the challenging detection threshold and also to provide more comprehensive descriptions of the licenced user signals for performance improvement in cognitive radios (CRs). Numerical results show that the new spectrum models have acceptable accuracies. They also show that the proposed spectrum measurement prediction method tracks the trend of the true values well. Therefore, these results are very useful in CR designs.