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Multi-carrier based UAV data relaying and user tracking system
Physical Communication ( IF 2.2 ) Pub Date : 2021-09-10 , DOI: 10.1016/j.phycom.2021.101462
Xu Wu 1 , Yu Zhang 1 , Mudi Xiong 1 , Beihang Mao 1 , Zhenyu Na 1
Affiliation  

In the case of natural disaster or emergency rescue, unmanned aerial vehicle (UAV) can be dispatched to the target region and leveraged as aerial relay to track and serve users owning to flexible maneuverability and fast deployment. In this article, a multi-carrier based UAV data relaying and user tracking system is proposed in which the UAV adopts multi-carrier transmission and builds a communication connection from the reliable infrastructure to the target region in emergency. More specifically, a base station (BS) sends information to the UAV which can allocate sub-carriers to users, and then the UAV forwards information, tracks and serves users to ameliorate system performance. A downlink average achievable sum rate maximization-based joint optimization problem, including the UAV flight path, sub-carrier transmit power and user scheduling, is formulated with the information causality constraint. Since the formulated problem suffers from non-convexity, a three-step iterative algorithm is derived to approximate the optimal solution to the original problem by alternatively optimizing UAV flight path, sub-carrier transmit power and user scheduling. Simulation results show that the proposed algorithm can not only track mobile users dynamically, but also demonstrate the performance superiorities of the proposed scheme prominently.



中文翻译:

基于多载波的无人机数据中继和用户跟踪系统

在自然灾害或紧急救援的情况下,无人机(UAV)可以被派往目标区域,并作为空中中继来跟踪和服务用户,具有灵活的机动性和快速的部署。在本文中,提出了一种基于多载波的无人机数据中继和用户跟踪系统,其中无人机采用多载波传输,并在紧急情况下建立从可靠基础设施到目标区域的通信连接。更具体地说,基站(BS)向无人机发送信息,无人机可以为用户分配子载波,然后无人机转发信息、跟踪和服务用户以改善系统性能。一个基于下行平均可实现和速率最大化的联合优化问题,包括无人机飞行路径、子载波发射功率和用户调度,用信息因果关系约束来表述。由于公式化问题具有非凸性,推导出三步迭代算法,通过交替优化无人机飞行路径、子载波发射功率和用户调度来逼近原始问题的最优解。仿真结果表明,所提出的算法不仅可以动态跟踪移动用户,而且突出地展示了所提出方案的性能优势。

更新日期:2021-09-17
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