Title :
Autoregressive Channel Prediction Model for Cognitive Radio
Author :
Dong Chunli ; Dong Yuning ; Wang Li
Author_Institution :
Coll. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
An autoregressive channel prediction model is presented for cognitive radio systems. This model adopts a second-order AR model and a particle filter. In this paper, an AR model of order p is used to approximate the flat Rayleigh fading channels. Simulation results show that the performance of the proposed autoregressive channel prediction model based on particle filtering is better than that of Kalman filtering.
Keywords :
Rayleigh channels; cognitive radio; particle filtering (numerical methods); autoregressive channel prediction model; cognitive radio systems; flat Rayleigh fading channels; particle filtering; Cognitive radio; Educational institutions; Fading; Filtering; Kalman filters; Predictive models; State estimation; Telecommunication traffic; Traffic control; Wireless communication;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5302972
