认知无线网络中基于Stackelberg博弈的功率控制新算法

针对认知无线网络中存在的干扰问题和功率消耗过大问题，提出了一种新的基于斯坦克尔伯格(Stackelberg)博弈的功率控制算法。建立了主次用户双层网络模型，将主用户设置为领导者，次用户设置为追随者，并对次用户产生的总干扰进行定量分析。在次用户多次博弈的过程中，动态地调整主用户单位干扰价格，在保证主用户自身正常通信前提下，尽量使得收益最大化，提高主用户的参与积极性。仿真实验表明，该算法在保证主次用户的服务质量（QoS）前提下，有效地减小了次用户的发射功率，而且能获得更高的系统容量。

A novel power control algorithm based on Stackelberg game in cognitive radio networks

To deal with the issues of interference and large power-consumption in Cognitive Radio Networks(CRNs),a novel power control algorithm based on Stackelberg game theory is proposed.A two-layer network model is established in which the primary user acts as leader and secondary users act as followers.A quantitative analysis of the total interference generated by secondary users is made. In the process of multiple games,the primary user adjusts the price of unit interference dynamically to ensure maximizing revenue and increase the enthusiasm for participation as much as possible under the premise of normal communication. The simulation results show that the proposed algorithm not only decreases the transmistting power of secondary users effectively,but also improves the total throughput.