Joint 3D Trajectory and Resource Optimization for A UAV Relay-Assisted Cognitive Radio Network  

作　　者：Zhen Wang Fuhui Zhou Yuhao Wang Qihui Wu 

机构地区：[1]School of Artificial Intelligence,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]School of Information Engineering,Nanchang University,Nanchang 330031,China [3]Nanjing University of Aeronautics and Astronautics,Nanjing,211106,China [4]Shaanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts and Telecommunication,Xi’an,710061,China

出　　处：《China Communications》2021年第6期184-200,共17页中国通信（英文版）

基　　金：This work was supported by the National Key Research and Development Project under Grant 2020YFB1807602,Natural Science Foundation of China under Grant 62071223,62031012,61701214 and 61661028;by the National Key Scientific Instrument and Equipment Development Project under Grant No.61827801;the Open Project of the Shaanxi Key Laboratory of Information Communication Network and Security under Grant ICNS201701;the Excellent Youth Foundation of Jiangxi Province under Grant 2018ACB21012 and in part by the Young Elite Scientist Sponsorship Program by CAST.

摘　　要：In this paper,we consider a new spectrum sharing scenario for a cognitive relay network,where a secondary unmanned aerial vehicle(UAV)relay receives information from the ground secondary base station(SBS)and transmits information to the ground secondary user(SU),coexisting with the primary users(PUs)at the same wireless frequency band.We investigate the optimization of the UAV relay’s three-dimensional(3D)trajectory to improve the communication throughput performance of the secondary network subject to the interference constraints of the PUs.The information throughput maximization problem is studied by jointly optimizing the UAV relay’s 3D trajectory and the transmit power of the SBS and the UAV,subject to the constraints on the velocity and elevation of the UAV relay,the maximum and average transmit power,and the information causality,as well as a set of interference temperature(IT)constraints.An efficient algorithm is proposed to solve the admittedly challenging non-convex problem by using the path discretization technique,the successive convex approximation technique and the alternating optimization method.Finally,simulation results are provided to show that our proposed design outperforms other benchmark schemes in terms of the throughput。

关 键 词：cognitive radio UAV communication 3D trajectory design mobile relaying power allocation 

分 类 号：V19[航空宇航科学与技术—人机与环境工程] TN925[电子电信—通信与信息系统]