In this paper, a model-based adaptive mobility control method for an Unmanned Aerial Vehicle（UAV） acting as a communication relay is presented, which is intended to improve the network performance in airborne multi-user systems. The mobility control problem is addressed by jointly considering unknown Radio Frequency（RF） channel parameters, unknown multi-user mobility, and non-available Angle of Arrival（AoA） information of the received signal. A Kalman filter and a least-square-based estimation algorithm are used to predict the future user positions and estimate the RF channel parameters between the users and the UAV, respectively. Two different relay application cases are considered: end-to-end and multi-user communications. A line search algorithm is proposed for the former, with its stability given and proven, whereas a simplified gradient-based algorithm is proposed for the latter to provide a target relay position at each decision time step, decreasing the two-dimensional search to a one-dimensional search. Simulation results show that the proposed mobility control algorithms can drive the UAV to reach or track the optimal relay position movement, as well as improving network performance. The proposed method reflects the properties of using different metrics as objective network performance functions.
类型: 期刊论文
作者: Gaofeng WU,Xiaoguang GAO,Xiaowei Fu,Kaifang WAN,Ruohai DI
来源: Chinese Journal of Aeronautics 2019年06期
年度: 2019
分类: 工程科技Ⅱ辑,信息科技
专业: 航空航天科学与工程,电信技术
单位: School of Electronics and Information, Northwestern Polytechnical University
基金: supported by the National Natural Science Foundation of China (No. 61573285)
分类号: V279;TN925
页码: 1520-1529
总页数: 10
文件大小: 648K
下载量: 34
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