Title :
Autoregressive Spectrum Hole Prediction Model for Cognitive Radio Systems
Author :
Wen, Zhigang ; Luo, Tao ; Xiang, Weidong ; Majhi, Sudhan ; Ma, Yunhong
Author_Institution :
Sch. of Telecommun. Eng., Beijing Univ., Beijing
Abstract :
In this paper, an autoregressive channel prediction model is presented for cognitive radio(CR) systems to estimate spectrum holes. This model adopts a second-order autoregressive process and a Kalman filter. A Bayes risk criterion for spectrum hole detection is presented by considering interference temperature and channel idle probability. Theoretical analysis and simulations show that CR systems based on this scheme can greatly reduce the number of collisions between licensed users and rental users.
Keywords :
Bayes methods; Kalman filters; cognitive radio; wireless channels; Bayes risk criterion; Kalman filter; autoregressive channel prediction model; autoregressive spectrum hole prediction model; channel idle probability; cognitive radio systems; interference temperature; second-order autoregressive process; spectrum hole detection; Autoregressive processes; Chromium; Cognitive radio; Communications Society; Conferences; Fading; Interference; Predictive models; Temperature distribution; USA Councils;
Conference_Titel :
Communications Workshops, 2008. ICC Workshops '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2052-0
Electronic_ISBN :
978-1-4244-2052-0
DOI :
10.1109/ICCW.2008.34
