Title :
An Estimation Algorithm of Channel State Transition Probabilities for Cognitive Radio Systems
Author :
Long, Xin ; Gan, Xiaoying ; Youyun Xu ; Liu, Jing ; Tao, Meixia ; Youyun Xu
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai
Abstract :
In this paper, an estimation algorithm of channel state transition probabilities in Markov channel model for cognitive radio systems is proposed. The framework of POMDP is adopted to solve the problem of channel selection. Maximum likelihood method is used to estimate the channel state transition probabilities, which is crucial to POMDP. Central Limit Theorem is introduced to get the relationship between the precision, sample times and the channel state transition probability values. The simulation results show the reliability of the estimation results.
Keywords :
Markov processes; channel estimation; cognitive radio; probability; Markov channel model; central limit theorem; channel state transition probabilities; cognitive radio systems; estimation algorithm; maximum likelihood method; partially observable Markov decision process; Cognitive radio; Computational modeling; Gallium nitride; Hardware; Markov processes; Mathematical model; Maximum likelihood estimation; Probability; State estimation; Statistics; Channel State Transition Probability; Cognitive Radio; Estimation; POMDP;
Conference_Titel :
Cognitive Radio Oriented Wireless Networks and Communications, 2008. CrownCom 2008. 3rd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2301-9
Electronic_ISBN :
978-1-4244-2302-6
DOI :
10.1109/CROWNCOM.2008.4562505
