Resource Allocation and Trajectory Design for UAV-Enabled Wideband Cognitive Radio Networks

被引：2

作者：

Wen, Jiapan ^{[1
]}

Yu, Rong ^{[1
]}

Wang, Yuhao ^{[1
]}

Zhou, Huilin ^{[1
]}

Zhou, Fuhui ^{[1
]}

机构：

[1] Nanchang Univ, Nanchang, Jiangxi, Peoples R China

来源：

2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS) | 2019年

关键词：

Wideband cognitive radios; resource allocation; trajectory design; unmanned aerial vehicle; EFFICIENCY; SKY; LTE;

D O I：

10.1109/gcwkshps45667.2019.9024503

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Cognitive radio (CR) is promising to improve spectrum efficiency. However, the performance of the secondary users (SUs) is limited due to the channel fading and interference constraints. In order to tackle this issue, unmanned aerial vehicle (UAV)-enabled wideband CR networks are studied. The total average throughput of all SUs is maximized by jointly optimizing the transmit power allocation, the sub-carrier allocation and the trajectory of the UAV. Simulation results demonstrate the efficiency of our proposed resource allocation and the trajectory design scheme in terms of the total average throughput of all SUs compared to the benchmark schemes.

引用

页数：6

共 22 条

[1]

[Anonymous], IEEE T IND INFORM

[2]

Boyd Stephen, 2004, Convex Optimization, DOI 10.1017/CBO9780511804441

[3] Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective [J].