摘要
针对认知无线电频谱感知耗能导致能量利用率低的问题,提出通过联合优化感知和传输资源提高多信道认知无线电的能量效率.设置协作感知时间、感知门限、传输带宽和功率等优化参数,基于周期性协作频谱感知建立了最大化能量效率的优化模型,采用内点法和Dinkelbach优化的融合算法对提出的非凸优化模型求解.仿真结果表明,当检测概率为0.6时,相较于传统最大化频谱效率模型,提出的最大化能量效率模型单位能量下的传输速率提高约100bit/(s·Hz^(-1)).提出的模型有效降低了感知功率损耗,提高了系统的能量利用.
Aiming at the low energy utilization caused by the sensing energy consumption of cognitive radio （CR）, we propose to improve the energy efficiency （EE） of multi-channel CR by jointly optimizing cooperative spectrum sensing and transmission resources. Setting optimizing parameters such as cooperative spectrum sensing time, sensing threshold, transmission bandwidth and power, etc., the optimization model for maximizing EE is built based on the periodic cooperative spectrum sensing. The proposed non- convex optimization model is effectively resolved by a combined algorithm of the interior method and Dinkelbach＇s optimization. Simulation results show that when the detection probability is 0. 6, compared with the traditional maximizing spectrum efficiency model, the transmission rate of the maximizing energy efficiency model increases by 100bit/（s. Hz^-1） under unit energy. The proposed model decreases the sensing power consumption and improves the energy utilization effectively.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2017年第3期101-107,共7页
Journal of Xidian University
基金
国家自然科学基金资助项目(61601221)
江苏省自然科学基金资助项目(BK20140828)
中国博士后基金资助项目(2015M580425)
中央高校基本科研业务费专项资金资助项目(DUT16RC(3)045)
关键词
认知无线电
能量效率
协作频谱感知
频谱效率
凸优化
cognitive radio
energy efficiency
cooperative spectrum sensing
spectrum efficiency
convex optimization
