协作认知网络中基于融合准则与感知时间联合优化的策略  

Fusion Rule and Sensing Time Joint Optimization in Cooperative Spectrum Sensing Networks

作　　者：崔微微 赵海峰[1] 穆晓敏[1] 

机构地区：[1]郑州大学信息工程学院,郑州450001

出　　处：《电讯技术》2011年第8期6-10,共5页Telecommunication Engineering

基　　金：国家自然科学基金资助项目(60702020)~~

摘　　要：在协作频谱感知网络中,感知时间和数据融合准则均影响着感知性能。假设控制信道为二进制对称信道的前提下,基于"k秩准则"建立了协作感知网络吞吐量优化问题的数学模型,目的是在保护主用户利益的前提下联合优化感知时间和k值使认知网络吞吐量最大化。理论分析了最优感知时间和k值的存在性,并进行了相关的计算机仿真。仿真结果表明:所提议的联合优化策略显著提高了协作感知网络的吞吐量,且认知网络的吞吐量对控制信道状态的变化具有鲁棒性。In cooperative spectrum sensing networks, the performance of the spectrum sensing is influenced by the sensing time and data fusion scheme. In this paper, under the assumption of BSC （Binary Symmetric Chan- nel） control channel, the ＂k- out- of- N＂ fusion rule is used to formulate a throughput tradeoff problem that is to jointly optimize the sensing time and k in order to maximize the throughput of secondary network. The exis- tance of a pair of optimal sensing time and k value are analysed theoretically and some related computer simula- tions are performed. The simulation results demonstrate that when the joint optimization strategy proposed is em- ployed, the throughput of the secondary networks is improved and its robustness is strengthened too.

关 键 词：认知无线电 协作频谱感知 融合准则 感知时间 吞吐量优化 

分 类 号：TN92[电子电信—通信与信息系统]