个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:土木工程系
学科:供热、供燃气、通风及空调工程
办公地点:综合实验4号楼437室。
电子邮箱:xueyan@dlut.edu.cn
Spectrum Sensing Optimization in an UAV-Based Cognitive Radio
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论文类型:期刊论文
发表时间:2018-01-01
发表刊物:IEEE ACCESS
收录刊物:SCIE
卷号:6
页面范围:44002-44009
ISSN号:2169-3536
关键字:UAV; virtual cooperative spectrum sensing; throughput; joint optimization
摘要:In cognitive radio (CR), the detection performance of traditional spectrum sensing may be decreased due to the multipath fading and shadowing effect. However, unmanned aerial vehicle (UAV) can receive a higher strength signal without suffering severe fading and shadowing. In this paper, an UAVbased CR is proposed to improve spectrum sensing performance and access the idle spectrum. The UAV performs circular flight with the PU locating at the center, and the flight period is divided into sensing radian and transmission radian. Only when the absence of the PU has been detected within sensing radian can the UAV access the spectrum. The spectrum sensing optimization is formulated as an optimization problem, which seeks to maximize the effective throughput of the UAV by optimizing the sensing radian subject to the constraint of the interference throughput. Then, virtual cooperative spectrum sensing is proposed to improve sensing performance in fading channel, and the effective throughput is maximized by jointly optimizing local sensing radian and the number of sensing slots. The simulation results show that better UAV transmission performance can be obtained by optimizing spectrum sensing, and the virtual cooperative spectrum sensing outperforms the single spectrum sensing especially in deep fading channel.