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Journal of Applied Sciences >

2011 , Vol. 29 >Issue 4: 353 - 359

DOI: https://doi.org/10.3969/j.issn.0255-8297.2011.04.004

Communication Engineering

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

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  • 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 date: 2010-10-13

  Revised date: 2011-03-12

  Online 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

Cite this article

WANG Fan1;2, ZHAO Hang-sheng2, YAO Fu-qiang2, FENG Shao-dong1, ZHANG Jian-zhao1; . On-Demand Multiple Channels Access Strategy in Cognitive Radio Networks Based on Pricing[J]. Journal of Applied Sciences, 2011 , 29(4) : 353 -359 . DOI: 10.3969/j.issn.0255-8297.2011.04.004

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