无人机辅助MEC系统：架构、关键技术与未来挑战

doi:10.11959/j.issn.1000-0801.2022237

电信科学 ›› 2022, Vol. 38 ›› Issue (8): 3-16.doi: 10.11959/j.issn.1000-0801.2022237

• 专题：无人机空地无线通信技术 • 上一篇下一篇

无人机辅助MEC系统：架构、关键技术与未来挑战

张天魁¹, 徐瑜¹, 刘元玮², 杨鼎成³, 任元红⁴

¹ 北京邮电大学信息与通信工程学院，北京 100876
² 英国伦敦玛丽女王大学电子工程与计算机科学学院，英国伦敦 E1 4NS
³ 南昌大学信息工程学院，江西南昌 330031
⁴ 北方自动控制技术研究所，山西太原 030006

修回日期:2022-08-10 出版日期:2022-08-20 发布日期:2022-08-01
作者简介:张天魁（1980- ），男，北京邮电大学信息与通信工程学院教授，主要研究方向为无线通信网络、智能边缘计算和缓存、信号处理、内容中心网络等
徐瑜（1992- ），男，北京邮电大学信息与通信工程学院博士生，主要研究方向为移动边缘计算、无人机通信、智能反射面等
刘元玮（1987- ），男，英国伦敦玛丽女王大学电子工程与计算机科学学院副教授，主要研究方向为非正交多址接入技术、通感一体化、智能反射面、机器学习等
杨鼎成（1985- ），男，南昌大学信息工程学院教授，主要研究方向为协作通信、无人机通信、无线资源管理等
任元红（1984- ），男，北方自动控制技术研究所高级工程师，主要研究方向为指控系统设计
基金资助:
国家自然科学基金资助项目(61971060);北京市自然科学基金资助项目(4222010);北京邮电大学博士生创新基金资助项目(CX2022305)

UAV-assisted MEC systems: architecture, key technology, and future challenges

Tiankui ZHANG¹, Yu XU¹, Yuanwei LIU², Dingcheng YANG³, Yuanhong REN⁴

¹ School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
² School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, U.K.
³ Information Engineering School, Nanchang University, Nanchang 330031, China
⁴ North Automatic Control Technology Institute, Taiyuan 030006, China

Revised:2022-08-10 Online:2022-08-20 Published:2022-08-01
Supported by:
The National Natural Science Foundation of China(61971060);The Natural Science Foundation of Beijing(4222010);BUPT Excellent Ph.D.Students Foundation(CX2022305)

摘要/Abstract

摘要：

摘要：随着5G加速部署和6G研究工作持续推进，无人机（unmanned aerial vehicle，UAV）辅助移动边缘计算（mobile edge computing，MEC）技术在克服复杂地域限制、解决终端设备计算需求和提高系统任务卸载速率等方面具有显著优势，得到了学术界和工业界的广泛关注。首先阐明了无人机辅助MEC系统的概念和技术优势，提出了一种无人机辅助MEC通用架构，并给出了各个功能模块定义；接着总结了典型应用场景，梳理了现有的关键性技术，获得了无人机MEC系统的设计方法；最后对未来的研究方向和存在的挑战进行了展望和阐述。

关键词: 5G, 6G, 无人机, 移动边缘计算, 任务卸载

Abstract:

With the fast deployment of 5G and the on-going development of 6G, unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) technology has significant advantages in the terms of overcoming the geographic restrictions, addressing the computational requirements of terminal devices, and enhancing the task offloading rate of the systems, which attracts wide attentions in academia and industry.The concept and the technique advantages of the UAV-assisted MEC systems were firstly clarified, and a general UAV-assisted MEC architecture was proposed, along with the definition of each function module.Then the classic application scenarios were summarized, and the existing key techniques were sorted out, based on which the design methods for the UAV-assisted MEC were achieved.Finally, the research directions and the potential challenges in the future were prospected and clarified.

Key words: 5G, 6G, UAV, MEC, task offloading

中图分类号:

TP393

张天魁, 徐瑜, 刘元玮, 杨鼎成, 任元红. 无人机辅助MEC系统：架构、关键技术与未来挑战[J]. 电信科学, 2022, 38(8): 3-16.

Tiankui ZHANG, Yu XU, Yuanwei LIU, Dingcheng YANG, Yuanhong REN. UAV-assisted MEC systems: architecture, key technology, and future challenges[J]. Telecommunications Science, 2022, 38(8): 3-16.

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参考文献 36

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研究目标	参考文献	说明
能耗最小	[16,19-20,24]	主要考虑系统中通信、计算能耗和无人机的飞行能耗
计算时延最低	[14-15,21-23,25]	主要减小系统任务卸载过程的传输时延和任务计算时延
计算容量最高	[26-28]	实现无人机或终端设备最大计算量
计算能效最大	[17,29-31]	权衡计算量与能量开销之间的折中关系
计算安全性最强	[32-35]	考虑任务卸载过程中的数据安全性

无人机辅助MEC系统：架构、关键技术与未来挑战

UAV-assisted MEC systems: architecture, key technology, and future challenges

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