基于特征检测器的能量采集认知无线电系统优化研究

Feature-Based Optimization for Energy-Harvesting Cognitive Radio

将特征检测器频谱感知方案引入能量采集的认知无线电系统中,分析比较了不同检测器背景下感知阈值和感知时间对系统性能的影响,且在能量约束和碰撞限制条件下,以最大化系统次级用户的吞吐量为目标计算出最优的感知时间。计算机仿真结果表明,在合适的感知阈值条件下,3种检测器的感知时间最优解有所差异,能量检测器同时依赖于能量约束和碰撞限制,最大特征值检测器仅受限于能量,而最大最小特征值检测器则无法找到最优的感知时间。

We consider an energy-harvesting cognitive radio system where the feature-based detectors are used for spectrum sensing,the effect of the sensing threshold and sensing duration on performances with different detectors are compared,and the optimal sensing duration can be obtained by maximizing the average throughput of an energy harvesting secondary network subject to energy causality constraint and a collision constraint.Numerical results show that there exists difference among the optimal sensing duration with three detectors for an appropriate sensing threshold,the energy detector is affected by energy causality and collision constraint,one just depends on energy with maximum eigenvalue detector,where there is no optimal sensing duration for the ratio of maximum to minimum eigenvalue detector.