中文

Journal of Applied Sciences ›› 2011, Vol. 29 ›› Issue (4): 353-359.doi: 10.3969/j.issn.0255-8297.2011.04.004

• Communication Engineering • Previous Articles     Next Articles

On-Demand Multiple Channels Access Strategy in Cognitive Radio Networks Based on Pricing

WANG Fan1;2, ZHAO Hang-sheng2, YAO Fu-qiang2, FENG Shao-dong1, ZHANG Jian-zhao1;2   

  1. 1. Institute of Communication Engineering, PLA University of Science and Technology, Nanjing 210007, China
    2. The 63rd Research Institute of the General Staff, Nanjing 210007, China
  • Received:2010-10-13 Revised:2011-03-12 Online:2011-07-30 Published:2011-07-30

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Abstract:

Abstract: In the scenario of multi-channel access cognitive radio networks, considering the QoS guarantee, a
model is established based on non-cooperative game theory, and a new metric called useful CRN throughput is
defined. Based on the proposed model, an on-demand pricing based multi-channel access strategy is proposed.
A closed-form formulation of the price function is formulated. In addition, an on-demand pricing based iterative
water filling algorithm (ODPA) is introduced to implement channel and power allocation in the multi-channel
access strategy. Simulation results show that the proposed ODPA can achieve better performance in both
metrics of useful CRN throughput and QoS guarantee rate. Simulation shows that the QoS guarantee rate
is improved by 10%?20% with ODPA as compared to other pricing based water-filling algorithm without
considering the QoS requirement. The CRN throughput is improved by about 38%.

Key words: cognitive radio, multi-channel access, channel allocation, power allocation, game theory, water
filling

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