Coverage Optimization for UAV-Aided Internet of Things with Partial Channel Knowledge
作者机构:Beijing National Research Center for Infor-mation Science and Technology(BNRist)Department of Electronic Engi-neeringTsinghua UniversityBeijing 100084China School of Engineeringthe University of WarwickCoventryCV47ALUK
出 版 物:《Journal of Communications and Information Networks》 (通信与信息网络学报(英文))
年 卷 期:2018年第3卷第4期
页 面:55-63页
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
基 金:Beijing Natural science Foundation(No.L172041) the National Science Foundation of China(Nos.61701457,61771286,91638205,61671478 and 61621091)
主 题:block coordinate descent coverage optimization IoT UAVs
摘 要:Due to the high maneuverability of unmanned aerial vehicles(UAVs),they have been widely deployed to boost the performance of Internet of Things(IoT).In this paper,to promote the coverage performance of UAV-aided IoT communications,we maximize the minimum average rate of the IoT devices by jointly optimizing the resource allocation strategy and the UAV ***,to depict the practical propagation environment,we take the composite channel model including both the small-scale and the large-scale channel fading into *** to the difficulty in acquiring the random small-scale channel fading,we assume that only the large-scale channel sate information is *** this basis,we formulate an optimization problem,which is not convex and challenging to ***,an efficient iterative algorithm is proposed using block coordinate descent and successive convex optimization ***,simulation results are presented to demonstrate the significant performance gain of the proposed scheme over existing ones.