摘要
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.
In this paper is carried out an investigation that the performance of the cooperative spectrum sensing with retay may be interfered by redundant relays, the number of busy cognitive users （CUs） and the secondary relay（SR）, detection threshold and transmission error of the channel, so that a global adaptive optimization algorithm is proposed. In this algorithm, based on the maximum interference-free power relay selection （MIFPRS）, the set of secondary relay is defined adaptively; and in order to reach a maximum of the probability of detection, the single cognitive user minimizes the transmission error of the channel and selects the relay from the set of secondary relays. To achieve the maximum of the total channel throughput under the given probability of detection, ale ues the entire adaptive optimization algorithm. Numerical simulations demonstrate that the proposed algorithm has a high degree of channel transmission precision, and a large amount of channel throughput, so as to spend less frequency band.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2015年第1期390-400,共11页
Acta Physica Sinica
基金
国家自然科学基金(青年科学基金)(批准号:61201120)资助的课题~~
关键词
频谱感知
中继协作
自适应
全局最优
spectrum sensing, relay-assisted, adaptive, global optimization
