能量效率和碰撞概率联合优化的协作频谱感知算法

Cooperative Spectrum Sensing Algorithm Based on Joint Optimization of Energy Efficiency and Collision Probability

协作频谱感知能提高认知无线电网络的感知性能。随着认知网络频谱感知性能的提高,一方面感知网络将会消耗更多的能量;另一方面次用户拥有更多的机会接入授权频谱,次用户的吞吐量不断增加,同时在通信过程中主用户与次用户发生碰撞的概率也不断增大。本文提出了一种联合优化能量效率和碰撞概率的协作频谱感知算法,通过最优感知检测点判断节点所处信道状态,融合中心舍弃信道状态不好的节点使其不参与数据融合,既消除了信道状态不好的节点对全局判决的不良影响,又提高了能量利用率。仿真结果表明,该算法提高了网络的频谱检测性能,并延长了感知网络的生命周期。

Cooperative spectrum sensing can improve the sensing performance of cognitive radio(CR)network.At the cost of improving the sensing performance,the cognitive network costs more energy.Meanwhile,the secondary users have more opportunities to access the spectrum hole.However,with the development of the cognitive network throughput,the data collision probability between the primary user and cognitive user increases continuously.This paper proposes a cooperative spectrum sensing algorithm based on the energy efficiency and data collision probability.In this algorithm,we choose the optimal sensing check point to judge the nodes′channel state.At the same time,bad channel state of node is discarded in fusion center.Therefore,not only the effect of bad channel state of node on global decision is eliminated,but also the energy efficiency is improved.The simulation results show that the proposed algorithm can improve the spectrum sensing performance of CR metwork effectively and prolong its lifecycle.