最小信道检测开销的协作频谱感知算法

Cooperative spectrum sensing algorithm based on minimum detecting overhead

在资源受限的无线电认知网络中,协作频谱感知技术的应用提升了系统性能,却同时增加了信道检测开销.选择合适的系统参数可以有效地降低信道检测开销.采用能量检测方法,分别对单用户和多用户频谱感知系统模型进行了分析,提出信道检测开销优化算法并推导出数学表达式,理论上证明了检测开销必然存在一个最小值,同时给出了算法思路和实现步骤.仿真结果也验证了系统参数优化的有效性和最小信道检测开销算法的合理性.

In the limited resource wireless cognitive radio networks,the application of the cooperative spectrum sensing technique improves system performance,but also results in the increase of channel detecting overhead.In this context,selecting appropriate system parameters can effectively minimize the detecting overhead.After analyzing the models of single-user and multi-user spectrum sensing systems based on energy detection,we proposed a cooperative spectrum sensing algorithm based on minimum detecting overhead.The main ideas of the algorithm and implementation steps are given.In addition,we have derived a detecting overhead formula,and theoretically proved the existence of the minimum of detection overhead.Furthermore,simulation results verify effectiveness of system parameter optimization and reliability of the algorithm.