张雪研

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

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Spectrum Sensing Optimization in an UAV-Based Cognitive Radio

点击次数:

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.