In this paper, we analyze performance of cooperative spectrum sensing under counting rules when exponential model is utilized to characterize the burst nature of primary user （PU） link. Our objective is to minimize ...In this paper, we analyze performance of cooperative spectrum sensing under counting rules when exponential model is utilized to characterize the burst nature of primary user （PU） link. Our objective is to minimize the average error probability （AEP） so that the link utilization in the considered link achieves its maximum. We derive a closed-form expression of AEP as well as the probability of interference （PoI） by classifying cognitive transmission into six events. Then, we consider the minimization of AEP over counting rules under the constraint of interference. As the solution, we develop an efficient algorithm to evaluate the optimal fusion rule. Finally, we verify our analysis in numerical results.展开更多
针对存在主用户模拟攻击(primary user emulation attack,PUEA)下的频谱感知问题,提出了一种基于攻击强度阈值(attack-aware threshold,ART)的协作频谱感知方法。该方法首先建立了存在PUEA的网络模型,然后分析4种状态下协作频谱感知的特...针对存在主用户模拟攻击(primary user emulation attack,PUEA)下的频谱感知问题,提出了一种基于攻击强度阈值(attack-aware threshold,ART)的协作频谱感知方法。该方法首先建立了存在PUEA的网络模型,然后分析4种状态下协作频谱感知的特点,采用检测统计量的一阶和二阶矩估计出PUEA攻击的概率,最后以总误差概率为目标函数,求出不同攻击强度下的最佳门限阈值,并通过ART方法完成在不同攻击强度下的协作频谱感知。仿真实验表明,该方法能够估计恶意信号出现的概率,有效减少频谱感知总误差概率,提高整个网络的频谱感知性能。展开更多
基金supported by the Research Fund for the Doctoral Program of Higher Education(20092125110006)the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University(2011D01)+1 种基金the Guangdong Provincial Natural Science Foundation of China(10451802904006030)the Fundamental Research Funds for the Central Universities of China
文摘In this paper, we analyze performance of cooperative spectrum sensing under counting rules when exponential model is utilized to characterize the burst nature of primary user （PU） link. Our objective is to minimize the average error probability （AEP） so that the link utilization in the considered link achieves its maximum. We derive a closed-form expression of AEP as well as the probability of interference （PoI） by classifying cognitive transmission into six events. Then, we consider the minimization of AEP over counting rules under the constraint of interference. As the solution, we develop an efficient algorithm to evaluate the optimal fusion rule. Finally, we verify our analysis in numerical results.
文摘针对存在主用户模拟攻击(primary user emulation attack,PUEA)下的频谱感知问题,提出了一种基于攻击强度阈值(attack-aware threshold,ART)的协作频谱感知方法。该方法首先建立了存在PUEA的网络模型,然后分析4种状态下协作频谱感知的特点,采用检测统计量的一阶和二阶矩估计出PUEA攻击的概率,最后以总误差概率为目标函数,求出不同攻击强度下的最佳门限阈值,并通过ART方法完成在不同攻击强度下的协作频谱感知。仿真实验表明,该方法能够估计恶意信号出现的概率,有效减少频谱感知总误差概率,提高整个网络的频谱感知性能。
