徐帅, 龙华, 刘增力, 邵玉斌. 一种基于信噪比(SNR)比较的感知节点数目优化算法[J]. 云南大学学报(自然科学版), 2011, 33(2): 158-163 .
引用本文: 徐帅, 龙华, 刘增力, 邵玉斌. 一种基于信噪比(SNR)比较的感知节点数目优化算法[J]. 云南大学学报(自然科学版), 2011, 33(2): 158-163 .
XU Shuai, LONG Hua, LIU Zeng-li, SHAO Yu-bin. Optimum number algorithm of secondary users based on SNR comparison[J]. Journal of Yunnan University: Natural Sciences Edition, 2011, 33(2): 158-163 .
Citation: XU Shuai, LONG Hua, LIU Zeng-li, SHAO Yu-bin. Optimum number algorithm of secondary users based on SNR comparison[J]. Journal of Yunnan University: Natural Sciences Edition, 2011, 33(2): 158-163 .

一种基于信噪比(SNR)比较的感知节点数目优化算法

Optimum number algorithm of secondary users based on SNR comparison

  • 摘要: 协作频谱感知虽然可提高系统的感知性能,但随着感知节点数目的增加,系统资源的占用越来越多,系统传输效率下降.分析了协作频谱感知方法的感知性能,得到协作频谱感知的感知性能与感知节点数目和接收信噪比之间的关系,提出了一种新的次级用户节点的选择方法,该方法有效保证了所选择节点的感知性能,仿真验证了该算法的有效性和可靠性.

     

    Abstract: Although cooperative spectrum sensing can greatly improve sensing performance,transmission efficiency will decrease with the number of sensing nodes increasing,which will consume more system resources.The performance of cooperative spectrum sensing is investigated,and the relationship among the performance,node number and average signal-to-noise ratio is derived.A method for selecting a set of sensing nodes is proposed,which can guarantee the sensing performance of the selected node.Simulation results show the validity and reliability of the proposed algorithm.

     

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