一种认知无线电感知时隙与周期联合优化算法

A Joint Optimal Algorithm of Spectrum Sensing Time and Sensing Period in Cognitive Radio Systems

鉴于目前已有的感知时隙与周期优化算法通常忽略授权用户的出现概率,造成感知性能和传输效率下降的问题,因此提出了一种基于授权用户出现概率的感知时隙与周期联合优化算法.新算法考虑授权用户的出现概率,首先以总的系统损失概率为约束条件进行感知时隙优化,然后以最大化系统频谱效率为目标进行感知周期的优化.实验证明:该联合优化算法能保证系统始终用最小的感知时隙和最优的感知周期进行频谱感知,在满足感知性能的条件下能够使认知用户的感知效率与传输效率达到最大.

The traditional spectrum sensing time and sensing period optimal algorithms ignore the appearance of the primary user,which leads to low sensing performance and spectrum using rate.To tackle this problem,we propose a joint optimal algorithm of spectrum sensing time and sensing period based on the probability of the primary user.It first uses the total system loss probability as constraint condition,then optimizes the sensing time followed by optimizing the sensing period at different appearance probability of the primary user so as to maximize the spectrum use rate.The proposed algorithm gives full play to the system in using the best spectrum sensing time and sensing period during different appearance probabilities of the primary user.As a result,the sensing performance and spectrum using rate efficiently can be improved.