摘要
认知无线电中,合作感知可以大大提高感知性能,但是节点之间互相交换感知信息会占用系统资源并产生传输时延,节点数较大时,在性能提高的同时带来通信开销过大的问题,某些感知性能不佳的节点加入反而会降低整体的检测性能。针对这个问题,可使用分簇技术,选取合适节点作为簇头,优化簇内感知节点数量。仿真结果表明,在满足一定目标检测概率的条件下,可以找到存在一个最优的簇内节点数,使系统获得有效信息吞吐量的最大化。
Cooperative spectrum sensing can greatly improve the sensing performance in cognitive radio.However,mutual exchange of information between nodes will take up the system resource and produce a transmission delay,so too many cooperative nods will improve the performance at the cost of bringing too high the communication overhead,and the joining of some of the nodes with poor sensing performance will reduce overall detection performance instead.To solve this problem,the clustering technology can be applied,it selects the appropriate node as the cluster head and optimise the number of sensing nodes inside the cluster.Simulation results show that in condition of meeting certain target detection probability,it is able to find the existence of an optimal number of nodes within a cluster,which can enable the system to attain the maximisation of effective information throughput.
出处
《计算机应用与软件》
CSCD
北大核心
2013年第4期227-230,共4页
Computer Applications and Software
关键词
认知无线电
频谱感知
合作
虚警概率
Cognitive radio Spectrum sensing Cooperative Probability of false alarm
