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

fYear

2008

fDate

15-17 May 2008

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CROWNCOM.2008.4562505

Filename

4562505