具有约束条件的认知无线电网络最优频谱价格函数

Optimal Pricing Function with Spectrum Constraint in Cognitive Radio Networks

保证主用户的QoS是认知无线电网络中必须遵循的原则之一.本文利用伺机频谱共享方式中的实际约束条件,求解出既能保证主用户的QoS,又能使主业务运营商获得较大利润的最优频谱价格函数.该价格函数能反映实际的通信环境(如信道质量、业务动态性)对频谱价格的影响,同时在动态环境下,通过迭代可以使频谱价格收敛到最优价格.仿真结果表明,相对于基于市场均衡的价格策略,主业务运营商采用本文提出的最优价格函数,能保证主用户的QoS要求,同时获得的利润不会降低.

Protecting the Quality-of-Service（QoS） of the primary user is very important in cognitive radio networks.In this paper,a practical constraint is considered that the available spectrum for the secondary users is limited in opportunistic spectrum sharing.An optimal pricing function is derived,which can provide QoSguaranteed for the primary users and more revenue for the primary service provider.Moreover,some practical environment parameters（such as channel quality,traffic fluctuation） are taken into account in spectrum pricing.In dynamic scenarios,the price can converge to the optimal value by iteration.Simulation results show that the QoS of the primary user can be guaranteed in the proposed pricing,while the profit is not less than that in market-equilibrium-based price.