3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

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
Xin Long1,*, Xiaoying Gan1,*, Jing Liu1, Meixia Tao1, Youyun Xu2
  • 1: Department of Electronic Engineering Shanghai Jiao Tong University Shanghai, China
  • 2: Department of Wireless Communications Nanjing Institute of Communications Engineering Nanjing, China
*Contact email: longx_rssoc@sjtu.edu.cn, ganxiaoying@sjtu.edu.cn

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.