基于连续双向拍卖的频谱分配算法研究

Research on dynamic spectrum allocation algorithm based on continuous double auction

根据频谱分配的现状,不同区域的部分机构拥有不同带宽的频谱并且为认知用户提供通信服务,因此,对多个频谱服务提供者和多认知用户共存环境下的频谱资源进行简单、高效地分配与管理并提高动态频谱访问的可靠性就成为了一个关键问题。对以上多对多分配问题进行简化,将多个频谱服务提供者和多认知用户之间的复杂关系用市场交易机制描述,提出了基于连续双向拍卖的频谱分配算法,针对不同任务的优先级别设计了灵活的交易指令。对该算法进行实验仿真,仿真结果表明,该算法时间复杂度较低,能有效地加快收敛速度。

According to the spectrum allocation status that some institutions in different regions have different bandwidth spectrum and provide communication services to the cognitive user, simple, efficient distribution and management to spectrum resources under the coexisting circumstance of multiple service providers and multi-spectrum cognitive users and improve the reliability becomes a critical issue. The above multiple-multiple allocation problem can be simplified and multiple spectrum service providers to multi-complex relationship between cognitive users can be instead by market trading mechanisms. A spectrum allocation algorithm is proposed based on continuous double auction and a flexible transaction instructions aimed at the priority level for different tasks is designed to the market trading mechanisms. Finally, the simulation experiments are completed and the data show that the algorithm has a lower time complexity, which can effectively accelerate the convergence rate.