摘要
对现有的协作频谱感知方法进行了研究,针对大量用户的协作频谱感知增加系统的能耗以及协作过程中感知结果交换时间消耗,导致系统的延迟降低了系统吞吐量的问题,提出了通过优化感知用户的数量来降低能量消耗和最大化系统的吞吐量,进而达到最大化系统的能量利用效率的目的。通过运用二分法来得出复杂能效算法的N的最优值。理论分析和仿真结果表明,通过选择某个数量的认知用户参与协作频谱感知能提高系统的性能,同时能使系统的能量效率达到最大化。
The existing CSS （Cooperative Spectrum Sensing） method is studied, and aiming at the problem that the delay of system would result in the decrease of system throughput due to the increase of system energy consumption caused by CSS of massive users and time consumption in the cooperative process of cognitive result exchange, a method to decrease the energy consumption and maximize system throughput by optimizing the amount of cognitive users is proposed, thus to maximize the utilization efficiency of system energy. The optimal N value of complex energy efficiency algorithm is acquired through bisection algorithm. Theoretical analysis and simulation results indicate that by selecting a number of cognitive users to participate in collaborative spectrum sensing, the system would be improved in performance while maximized in energy efficiency.
出处
《通信技术》
2015年第8期934-939,共6页
Communications Technology
基金
国家自然科学基金项目(No.41364002)
云南省科技厅面上项目(No.KKS0201303017
No.KKSA201303009)
云南省人培项目(No.KKSY201203029)~~
