认知无线网络中基于联盟博弈的分布式协作频谱感知方法

针对认知无线网络中感知用户(sensing user,SU)之间协作效用低的问题,将联盟博弈论应用到频谱感知中,提出了一种基于联盟博弈的分布式协作频谱感知方法。该方法首先通过SU进行本地频谱感知,然后利用联盟形成规则将SU分成若干联盟,在单用户优先准则下进行联盟间信息交换,经过迭代形成稳定的联盟分区结构,最后融合联盟内的感知信息完成频谱感知。仿真结果表明,采取的单用户优先准则较传统合并分裂准则,灵活性更高,形成的联盟效用值更大,在协作频谱感知中提高检测概率的同时降低了虚警概率,具有更好的频谱感知性能。

Coalitional game based distributed cooperative spectrum sensing method in cognitive wireless network

Aimed at solving the problem of low cooperative effectiveness between sensing users (SU) in cognitive radio network, the coalitional game based distributed cooperative spectrum sensing method in cognitive wireless network is proposed. Firstly, the method operates local spectrum sensing by the aid of SU. Then, according to the formation rules, the SU is divided into several coalitions, among which information exchange is achieved under the single user priority rule. A stable coalitional structure is formed after several iterations. Finally, the spectrum sensing is completed through integrating the sensing information in the coalition. Simulation results show that, compared with the traditional rules of merger and division, the single user priority rule adopted is more flexible in usage and more effective in coalition utility. The detection probability of cooperative spectrum sensing is improved, while its false alarm probability is reduced, indicating that the proposed method has better spectrum sensing performance than other methods.