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| A Transmission and Scheduling Scheme Based on Markov Decision Process in Cognitive Radio Networks |
| Zhu Jiang①; Xu Bin-yang②; Li Shao-qian① |
| ①National Key Laboratory of Communications, University of Electronic Science and Technology of China, Chengdu 610054, China;②Research and Innovation Center of Alcatel Shanghai Bell, Shanghai 201206, China |
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Abstract A cross-layer transmission and scheduling scheme of average power minimization in cognitive radio networks under the constraint of packet drop probability is addressed. The scheme is formulated by constrained Markov Decision Process (MDP). Lagrangian multiplier approach is used to solve the MDP, and a golden section search method is proposed to find the multiplier. Two simplifying methods, namely, state aggregate and action set reduction are employed to cope with the curse of dimensionality. Simulation results show that simplifying methods have little influence on the performance of the scheme and average power consumption of the scheme is the lowest.
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Received: 30 July 2008
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2009, Vol. 31 
