On energy conservation for fixed-wing UAV assisted practical full-duplex relaying with service requirement and bank angle limit

IF 5.8 2区 计算机科学 Q1 TELECOMMUNICATIONS
Xuan Zhu , Xiaodong Ji , Senyi Shi , Jian-Feng Gu
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引用次数: 0

Abstract

This paper studies a full-duplex (FD) amplify-and-forward relaying, where a fixed-wing unmanned aerial vehicle (UAV) is dispatched as a mobile relay to serve a source-destination communication pair so as to satisfy their service requirement. Here, the UAV relay flies in a circular path and hence it must continuously change its heading of flight which leads to a bank angle of the aircraft. In order to ensure flight safety, therefore, a bank angle limit is imposed on the UAV relay. By considering a practical FD relaying, namely, there exists both residual loop interference (RLI) and processing time-delay at the relay side, novel signal to interference plus noise ratio (SINR) received at the destination is analyzed, giving a closed-form expression in addition to a concise lower-bound. Armed with the SINR analysis, the size of data received by the destination during a period of flight time of the UAV is calculated, leading to a closed-form lower-bound of the size of data. Taking bank angle limit into consideration and using the calculated lower-bound of the size of data, an optimization problem with the purpose of energy conservation is solved, leading to a novel method for joint adjustment of the UAV's flight parameters. Computer simulation experiments are conducted, and the results demonstrated that the proposed optimization method performs better in terms of energy conservation compared to the benchmark techniques regardless of the value of RLI and/or the service requirement of the source-destination communication pair.

关于固定翼无人机辅助实用全双工中继的节能问题(带服务要求和偏角限制
本文研究的是一种全双工(FD)放大-前向中继,即派遣固定翼无人飞行器(UAV)作为移动中继,为源-目的通信对提供服务,以满足其服务要求。在这种情况下,无人飞行器中继以环形路径飞行,因此必须不断改变飞行方向,从而导致飞机的倾斜角。因此,为了确保飞行安全,对无人机中继施加了倾斜角限制。通过考虑实际的 FD 中继,即中继侧存在残余环路干扰(RLI)和处理时延,分析了目的地接收到的新信号干扰加噪声比(SINR),给出了闭式表达式和简明下限。有了 SINR 分析,就能计算出无人飞行器在一段飞行时间内目的地接收到的数据量,从而得出数据量的闭式下限。考虑到俯仰角限制,并利用计算出的数据量下限,解决了一个以节能为目的的优化问题,从而得出了一种联合调整无人机飞行参数的新方法。计算机模拟实验结果表明,与基准技术相比,无论 RLI 值和/或源-目的通信对的服务要求如何,所提出的优化方法都具有更好的节能效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Vehicular Communications
Vehicular Communications Engineering-Electrical and Electronic Engineering
CiteScore
12.70
自引率
10.40%
发文量
88
审稿时长
62 days
期刊介绍: Vehicular communications is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. Standardization efforts on vehicular communication are also underway to make vehicular transportation safer, greener and easier. The aim of the journal is to publish high quality peer–reviewed papers in the area of vehicular communications. The scope encompasses all types of communications involving vehicles, including vehicle–to–vehicle and vehicle–to–infrastructure. The scope includes (but not limited to) the following topics related to vehicular communications: Vehicle to vehicle and vehicle to infrastructure communications Channel modelling, modulating and coding Congestion Control and scalability issues Protocol design, testing and verification Routing in vehicular networks Security issues and countermeasures Deployment and field testing Reducing energy consumption and enhancing safety of vehicles Wireless in–car networks Data collection and dissemination methods Mobility and handover issues Safety and driver assistance applications UAV Underwater communications Autonomous cooperative driving Social networks Internet of vehicles Standardization of protocols.
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