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| Research on Channel State Prediction Algorithm under Multi-radio Multi-channel Environment in Heterogeneous Networks |
| Huang Chuan①②,Zheng Bao-yu① |
| ①Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; ②School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China |
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Abstract Due to heterogeneous network environment with the characteristics of uncertainty for unlicensed users, based on the theory of Partially Observable Markov Decision Process (POMDP) model, a novel multi-radio multi-channel channel state prediction algorithm is proposed using spectrum sensing techniques of cognitive radio. By the analysis of the channel state historical information, the initial distribution of the belief state and transition probability is derivated and the channel with optimal reward is selected for unlicensed user to improve the spectrum utilization. The simulation results demonstrate that the proposed algorithm has better performance than classical algorithms.
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Received: 14 November 2008
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Corresponding Authors:
Huang Chuan
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2010, Vol. 32 
