最大系统效用合作频谱感知优化算法

Cooperative Spectrum Sensing Optimization Algorithm of Maximum System Utility

认知系统性能可以通过合作频谱感知技术的应用得到显著提高,但是由于随着参与频谱感知的认知用户数量增加,而必然会导致系统资源消耗增大。在综合评估系统性能和系统资源效率效用的基础上,通过科学选取感知时长和认知用户数量的策略,提出最大系统效用合作频谱感知优化算法。仿真结果表明,在系统探测概率确定的条件下,通过选择恰当的认知用户数量和感知时长,认知系统效用可以提升到最高。

The technology of cooperation spectrum sensing can improve the system performance through the co-operation detection of multiple users. However, it consumes a lot of system resources with an increase in the number of users involved in sensing. In order to balance the sense performance and efficiency of system resource, taking into account the sense overhead and system efficiency, cooperative spectrum sensing optimization algorithm which has based maximum system utility was proposed. Simulation results show that in the context to meet a given system detection probability, there is a corresponding number of sensing radio and sensing length to maximum cognitive system throughput.