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该文研究了冗余中继,次用户及中继用户数目,检测门限,信道传输错误率等因素对中继协作频谱感知系统性能的影响,并提出一种新的自适应全局最优化算法.该算法基于获得最大无干扰功率的自适应中继选择方法,确定备选认知中继集合;单个次用户以信道传输错误率最小为准则,从备选认知中继集合中自适应选择最佳中继,使总体检测率最大;在给定目标检测率的条件下,以系统吞吐量最大为准则,给出了自适应全局最优化算法.仿真实验结果表明新算法信道传输精度高,信道吞吐量大,节约带宽资源.
This paper studies the influence of redundant relay, number of secondary users and relay users, detection threshold and channel transmission error rate on the performance of SS cooperative spectrum sensing system and proposes a new adaptive global optimization algorithm. The algorithm determines the candidate cognitive relay set based on the adaptive relay selection method to obtain the maximum interference free power. A single secondary user selects the candidate cognitive relay sets from the candidate cognitive relay sets with the minimum channel transmission error rate as the criterion Which can make the overall detection rate reach the maximum. Under the condition of target detection rate, the adaptive global optimization algorithm is given based on the maximum system throughput. The simulation results show that the new algorithm has the advantages of high channel transmission accuracy, Large throughput, saving bandwidth resources.