分层认知无线电网络中基于稳定匹配的资源分配算法

Resource Allocation Algorithm Based on Stable Matching in Hierarchical Cognitive Radio Networks

频谱资源的合理分配是认知无线电技术追求的目标之一,随着认知无线电网络中的次用户(SUs)数量不断增加,频谱资源的精确、实时分配与管控越来越难以实现。针对此问题,该文提出一种分层的认知无线电网络(CRN)架构,多个管理实体专注于为各层用户提供频谱服务;并在该架构下,提出一种基于稳定匹配的资源分配算法,用户通过自主协商形成分配结果,不仅保证了主用户(PUs)对次用户的功率限制,还充分考虑了各自的效用。仿真结果表明,所提算法的性能接近于最优方案,并降低了计算复杂度和系统时延。

The rational spectrum resource allocation is one of the goals of Cognitive Radio （CR） technology. With the rapid increase of Secondary Users （SUs） numbers, the precise and real-time management becomes more and more difficult to achieve. In order to solve this problem, a hierarchical Cognitive Radio Network （CRN） architecture that several administration entities focus on providing spectrum services for users of variety tiers is proposed. The corresponding resource allocation algorithm based on stable matching in this architecture is also given. This algorithm guarantees the restriction on SUs＇ transmission power for Primary Users （PUs）, and also considers both utility functions of users. Simulation results demonstrate that the proposed method can roughly achieve the same performance of optimal solution with lower computation complexity and system delay.