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层出不穷的无线多媒体应用以及用户对服务质量的要求的不断提升,产生了大量的带宽需求,但频谱资源却相对有限,如何实现两者之间的平衡成为一个亟待解决的问题,因此认知无线电中的动态频谱共享问题越来越受到广泛关注,许多研究从不同角度建立了基于博弈论的竞争/合作模型.本文建立的是一个动态博弈模型.当次用户认知到主用户的空闲频谱资源时,根据本地的信息,给出有利于次用户的支付方案:建立价格与购买量之间的关系.然后,主用户根据次用户的方案,利用定价最大化自身的收益.仿真分析了主用户定价对其收益的影响以及在整体网络质量改变时,对定价及收益的影响.
The ever-increasing demand for wireless multimedia services and the ever-increasing demands of users for quality of service result in a large number of bandwidth requirements, but the spectrum resources are relatively limited. How to achieve the balance between the two becomes an urgent problem to be solved. Therefore, in cognitive radio The dynamic spectrum sharing problem has drawn more and more attention, and many researches have established a competition / cooperation model based on game theory from different perspectives.This paper establishes a dynamic game model.When the secondary user recognizes the idle spectrum resource of the primary user , According to the local information, give the sub-user’s payment scheme: to establish the relationship between the price and the purchase amount.Moreover, the main user uses the pricing to maximize its own revenue according to the sub-user’s scheme.The main user’s pricing The impact on its revenue and the impact on pricing and revenue as the overall network quality changes.