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无人机的蜂窝和虚拟化技术:实验视角。

Cellular and Virtualization Technologies for UAVs: An Experimental Perspective.

机构信息

IMDEA Networks Institute, Avda. del Mar Mediterráneo, 22, 28918 Madrid, Spain.

Department of Telematic Engineering, University Carlos III of Madrid, 28911 Leganes, Spain.

出版信息

Sensors (Basel). 2021 Apr 29;21(9):3093. doi: 10.3390/s21093093.

DOI:10.3390/s21093093
PMID:33946705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8124884/
Abstract

The Unmanned Aircraft System (UAS) ecosystem is exponentially growing in both recreational and professional fields to provide novel services and applications to consumers from multiple engineering fields. However, this technology has only scraped the surface of its potential, especially in those cases that require fast reaction times. Accordingly, the UAS Traffic Management (UTM) project aims at efficiently managing the air traffic for Unmanned Aerial Vehicle (UAV) operations, including those cases where UAVs might be remotely managed from a completely different geographical location. With these considerations in mind, this article presents a cellular-assisted UAVs testbed used to complete a mission managed beyond the radio line-of-sight (BRLoS), as well as introducing a virtualization platform for deploying services using containerization technology. In addition, the article conducts a communication performance evaluation in order to determine if the testbed equipment meets the requirements to carry out this BRLoS management. Finally, indoor flight operations are carried out to demonstrate the feasibility and proper operation of the testbed.

摘要

无人机系统 (UAS) 生态系统在娱乐和专业领域呈指数级增长,为来自多个工程领域的消费者提供新颖的服务和应用。然而,这项技术仅触及了其潜力的表面,尤其是在那些需要快速反应时间的情况下。因此,无人机交通管理 (UTM) 项目旨在有效地管理无人机 (UAV) 操作的空中交通,包括那些可能从完全不同地理位置远程管理无人机的情况。考虑到这些因素,本文介绍了一个蜂窝辅助的无人机测试平台,用于完成超出无线电视线 (BRLoS) 范围的任务,并引入了一个使用容器化技术部署服务的虚拟化平台。此外,本文还进行了通信性能评估,以确定测试平台设备是否符合执行这种 BRLoS 管理的要求。最后,进行了室内飞行操作,以证明测试平台的可行性和正常运行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/025f9f9f718b/sensors-21-03093-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/7f3ace39af22/sensors-21-03093-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/40d1cacd6390/sensors-21-03093-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/7f32f773f9cf/sensors-21-03093-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/36419eeda57e/sensors-21-03093-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/2490c074fbee/sensors-21-03093-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/f94a5297bdc1/sensors-21-03093-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/025f9f9f718b/sensors-21-03093-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/7f3ace39af22/sensors-21-03093-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/40d1cacd6390/sensors-21-03093-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/7f32f773f9cf/sensors-21-03093-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/36419eeda57e/sensors-21-03093-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/2490c074fbee/sensors-21-03093-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/f94a5297bdc1/sensors-21-03093-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899d/8124884/025f9f9f718b/sensors-21-03093-g007.jpg

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Using Aerial and Vehicular NFV Infrastructures to Agilely Create Vertical Services.利用空中和车载 NFV 基础设施来灵活创建垂直服务。
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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization.
利用网络功能虚拟化在无人机上自动部署互联网协议电话服务
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