一种能效优先的认知无线电模仿主用户攻击防御策略设计与性能分析

研究了一种能效优先的认知无线电PUEA防御策略并对其进行了性能分析.以PUEA存在时CSS能效作为目标函数,以CSS安全检测性能作为约束条件,从而构建一个安全的CSS系统模型进而求解该优化问题,实现保障能量有效性的安全频谱检测.在CSS中,融合中心以K秩准则(K-out-of-N准则)作为全局判决准则,保证能效最大化时得到最佳门限K和最佳认知用户数N.通过与最大比合并(MRC)准则下的安全CSS进行比较,所提PUEA防御策略在保证系统能效的同时提高了系统的检测性能,即所提PUEA防御策略可以有效折中能效与检测性能.数值仿真结果表明,所提策略不受PUE干扰功率影响,对于PUEA攻击具有较高的顽健性.

Design and performance analysis of energy efficiency based CR primary user emulation attack defensive scheme

Energy efficiency based PUEA defensive scheme was investigated with performance analysis.In this scheme,CSS energy efficiency was constructed as the optimum objective in the presence of PUEA with secure detection probability and false alarm probability threshold as the constraint conditions.Secure CSS model and PUEA defensive scheme were proposed to achieve energy efficiency based secure CSS.K-out-of-N criterion is set as global decision criterion in the scheme.Optimal fusion threshold K and optimal cooperative SUs N can be determined in secure CSS with the guarantee of energy efficiency.Compared with the traditional maximum ratio combining (MRC) fusion rule,the proposed PUEA defensive scheme not only guarantees system energy efficiency,but also improves system detection performance.Namely,the proposed scheme makes a trade-off between energy efficiency and detection performance in the presence of PUEA.The numerical simulation results show that the proposed strategy is not affected by the PUE interference power,and it has a high degree of persistence for PUEA attack.