认知无线电中自适应切换频谱分配准则的算法

在认知无线网络空闲频谱分配的过程中,为了适应认知用户数和空闲频带数的动态变化,提高系统整体性能（主要指系统总带宽收益和认知用户接入公平性）,构造了最大化系统性能的目标函数,设计了在协作最大总带宽收益CMSB（collaborative max sum bandwidth）和协作最大比例公平性CMPF（collaborativemax proportional fair）2种频谱分配准则之间自适应切换的算法,并给出了其具体实施步骤。采用系统总带宽收益和认知用户接入公平性2种性能评估指标,分析了该算法的性能。仿真结果表明,自适应算法可以在保证系统总带宽收益的同时获得更好的公平性,可以提高系统的整体性能。     

A parallel algorithm for statistical-fairness-based spectrum allocation of cognitive radios

A parallel algorithm for statistical-fairness-based spectrum allocation of cognitive radios is proposed in this paper. The key idea of the algorithm is to pursue the maximum total spectrum utilization of the system by adopting a parallel technique in every spectrum allocation, and to ensure the statistical fairness rule by deploying a particular scheme during a series of allocations. The simulation results show that the proposed algorithm not only achieves a fairer and more efficient allocation of spectrum resources, but also has much shorter allocation duration than the color sensitive graph coloring (CSGC) algorithm.