Research Article
An Estimation Algorithm of Channel State Transition Probabilities for Cognitive Radio Systems
@INPROCEEDINGS{10.1109/CROWNCOM.2008.4562505, author={Xin Long and Xiaoying Gan and Jing Liu and Meixia Tao and Youyun Xu}, title={An Estimation Algorithm of Channel State Transition Probabilities for Cognitive Radio Systems}, proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={7}, keywords={Estimation; Cognitive Radio; POMDP; Channel State Transition Probability;}, doi={10.1109/CROWNCOM.2008.4562505} }
- Xin Long
Xiaoying Gan
Jing Liu
Meixia Tao
Youyun Xu
Year: 2008
An Estimation Algorithm of Channel State Transition Probabilities for Cognitive Radio Systems
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2008.4562505
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.
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