认知无线电中协作用户数的优化  

Optimization of the cooperative user number in cognitive radio

作　　者：王海军[1] 粟欣[1] 王京[1] 

机构地区：[1]清华大学无线与移动通信研究中心,北京100084

出　　处：《清华大学学报（自然科学版）》2010年第5期777-779,783,共4页Journal of Tsinghua University(Science and Technology)

基　　金：国家"八六三"高技术项目(2007AA01Z289);国家自然科学基金资助项目(2007CB310608)

摘　　要：作为认知无线电中的关键技术,协作频谱检测首先要解决的问题是协作用户的选择。该文以能量协作检测的AND模型为例,通过对检测函数的性能分析,研究了在认知用户不同接收信噪比条件下的最优协作用户数,并设计了基于信噪比的最优协作用户数搜索算法和快速搜索算法。理论分析和仿真结果表明:在AND协作模型下存在一个最优的协作用户数目,并且在低接收信噪比时,这种部分用户的协作性能优于全局协作,而在高信噪比时两者性能接近。As a key technique in cognitive radio,the primary issue of cooperative sensing is how to choose the cooperative users.The cooperative users＇ number was optimized using the AND model in energy cooperative sensing with the detection function analyzed.Two search algorithms were designed,i.e.the search algorithm for optimal users＇ number based on the signal to noise ratio（SNR） and the fast search algorithm.Theoretical analyses and simulations show that an optimal number of the cooperative users exists in the AND cooperative model and that the partial cooperative sensing has better performance than the full cooperative sensing at low received SNRs while both having similar performance at high received SNRs.

关 键 词：认知无线电 能量协作检测 虚警概率 检测概率 二元假设 

分 类 号：TN92[电子电信—通信与信息系统]