基于定价的认知无线网络按需多信道接入策略

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

在认知无线电多信道接入场景中,建立满足认知用户服务质量(QoS)需求的非合作博弈模型,定义CRN有效容量的概念,提出基于定价的按需多信道接入策略,推导价格函数的数学表达式,并给出按需迭代注水算法以实现该策略中的信道和功率分配.仿真结果表明:按需多信道接入策略和按需迭代注水算法较不考虑QoS的一般接入策略在CRN有效容量和CR用户的QoS保证率上都有较大的性能改进.在给定场景中,按需迭代注水算法能使CR用户的QoS保证率提高10%～20%:在稳定状态下,CRN的有效容量提高38%左右.

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%.