无人机辅助MEC系统：架构、关键技术与未来挑战

张天魁; 徐瑜; 刘元玮; 杨鼎成; 任元红

doi:10.11959/j.issn.1000-0801.2022237

您当前的位置：

首页 >

文章列表页 >

无人机辅助MEC系统：架构、关键技术与未来挑战

专题：无人机空地无线通信技术 | 更新时间：2024-06-05

- 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
- 电信科学 2022年38卷第8期页码：3-16
- 作者机构：
  
  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
- 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" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61971060);北京市自然科学基金资助项目;The Natural Science Foundation of Beijing(4222010);北京邮电大学博士生创新基金资助项目;BUPT Excellent Ph.D.Students Foundation(CX2022305)
- DOI：10.11959/j.issn.1000-0801.2022237
  中图分类号： TP393
- 网络出版日期：2022-08，
  
  纸质出版日期：2022-08-20
- 稿件说明：
移动端阅览
张天魁, 徐瑜, 刘元玮, 等. 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, et al. UAV-assisted MEC systems: architecture, key technology, and future challenges[J]. Telecommunications science, 2022, 38(8): 3-16.
张天魁, 徐瑜, 刘元玮, 等. 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. DOI： 10.11959/j.issn.1000-0801.2022237.

Tiankui ZHANG, Yu XU, Yuanwei LIU, et al. UAV-assisted MEC systems: architecture, key technology, and future challenges[J]. Telecommunications science, 2022, 38(8): 3-16. DOI： 10.11959/j.issn.1000-0801.2022237.

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。

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.

关键词

Keywords

references

刘光毅 , 邓娟 , 郑青碧 , 等 . 6G智慧内生:技术挑战、架构和关键特征 [J ] . 移动通信 , 2021 , 45 ( 4 ): 68 - 78 .

LIU G Y , DENG J , ZHENG Q B , et al . 6G native intelligence:technical challenges,architecture and key features [J ] . Mobile Communications , 2021 , 45 ( 4 ): 68 - 78 .

刘光毅 , 金婧 , 王启星 , 等 . 6G愿景与需求:数字孪生、智能泛在 [J ] . 移动通信 , 2020 , 44 ( 6 ): 3 - 9 .

LIU G Y , JIN J , WANG Q X , et al . Vision and requirements of 6G:Digital twin and ubiquitous intelligence [J ] . Mobile Communications , 2020 , 44 ( 6 ): 3 - 9 .

OTHMAN M , MADANI S A , KHAN S U . A survey of mobile cloud computing application models [J ] . IEEE communications surveys ＆ tutorials , 2013 , 16 ( 1 ): 393 - 413 .

张晓龙 , 吴巍 , 周彬 . 基于移动边缘计算的任务卸载策略 [J ] . 科学技术与工程 , 2022 , 22 ( 11 ): 4434 - 4439 .

ZHANG X L , WU W , ZHOU B . Task unloading strategy based on mobile edge computing [J ] . Science Technology and Engineering , 2022 , 22 ( 11 ): 4434 - 4439 .

张呈宇 , 李红五 , 屈阳 , 等 . 面向工业互联网的5G边缘计算发展与应用 [J ] . 电信科学 , 2021 , 37 ( 1 ): 129 - 136 .

ZHANG C Y , LI H W , QU Y , et al . 5G edge computing development and application for industrial Internet [J ] . Telecommunications Science , 2021 , 37 ( 1 ): 129 - 136 .

PORAMBAGE P , OKWUIBE J , LIYANAGE M , et al . Survey on multi-access edge computing for Internet of Things realization [J ] . IEEE Communications Surveys ＆ Tutorials , 2018 , 20 ( 4 ): 2961 - 2991 .

MAO Y Y , YOU C S , ZHANG J , et al . A survey on mobile edge computing:the communication perspective [J ] . IEEE Communications Surveys ＆ Tutorials , 2017 , 19 ( 4 ): 2322 - 2358 .

ZHOU F H , HU R Q , LI Z , et al . Mobile edge computing in unmanned aerial vehicle networks [J ] . IEEE Wireless Communications , 2020 , 27 ( 1 ): 140 - 146 .

陈新颖 , 盛敏 , 李博 , 等 . 面向 6G 的无人机通信综述 [J ] . 电子与信息学报 , 2022 , 44 ( 3 ): 781 - 789 .

CHEN X Y , SHENG M , LI B , et al . Survey on unmanned aerial vehicle communications for 6G [J ] . Journal of Electronics ＆Information Technology , 2022 , 44 ( 3 ): 781 - 789 .

ZHANG P Y , WANG C , JIANG C X , et al . UAV-assisted multi-access edge computing:technologies and challenges [J ] . IEEE Internet of Things Magazine , 2021 , 4 ( 4 ): 12 - 17 .

莫鸿彬 , 李猛 . 无人机边缘计算网络：架构,关键技术与挑战 [J ] . 广东通信技术 , 2021 , 41 ( 4 ): 54 - 59 , 79 .

MO H B , LI M . UAV-MEC system:Architecture,key technology,and challenges [J ] . Guangdong Communication Technology , 2021 , 41 ( 4 ): 54 - 59 , 79 .

胡光武 , 张超钦 . 软件定义网络控制器研究进展 [J ] . 信息与电脑(理论版) , 2016 ( 20 ): 31 - 35 .

HU G W , ZHANG C Q . Research progress of software defined network controller [J ] . China Computer ＆ Communication , 2016 ( 20 ): 31 - 35 .

王蒙蒙 , 刘建伟 , 陈杰 , 等 . 软件定义网络:安全模型、机制及研究进展 [J ] . 软件学报 , 2016 , 27 ( 4 ): 969 - 992 .

WANG M M , LIU J W , CHEN J , et al . Software defined networking:security model,threats and mechanism [J ] . Journal of Software , 2016 , 27 ( 4 ): 969 - 992 .

HU Q Y , CAI Y L , YU G D , et al . Joint offloading and trajectory design for UAV-enabled mobile edge computing systems [J ] . IEEE Internet of Things Journal , 2018 , 6 ( 2 ): 1879 - 1892 .

YU Z , GONG Y M , GONG S M , et al . Joint task offloading and resource allocation in UAV-enabled mobile edge computing [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 4 ): 3147 - 3159 .

DIAO X B , ZHENG J C , CAI Y M , et al . Fair data allocation and trajectory optimization for UAV-assisted mobile edge computing [J ] . IEEE Communications Letters , 2019 , 23 ( 12 ): 2357 - 2361 .

XU Y , ZHANG T K , LIU Y W , et al . UAV-assisted MEC networks with aerial and ground cooperation [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 12 ): 7712 - 7727 .

QIN Z , WANG H , QU Y , et al . Air-ground collaborative mobile edge computing:architecture,challenges,and opportunities [J ] . arXiv preprint arXiv:2101.07930 , 2021 .

LU Y W , HUANG Y , HU T Y . Robust resource scheduling for air-ground cooperative mobile edge computing [C ] // Proceedings of 2021 IEEE/CIC International Conference on Communications in China (ICCC) . Piscataway:IEEE Press , 2021 : 764 - 769 .

ZHANG T , XU Y , LOO J , et al . Joint computation and communication design for UAV-assisted mobile edge computing in IoT [J ] . IEEE Transactions on Industrial Informatics , 2019 , 16 ( 8 ): 5505 - 5516 .

XU Y , ZHANG T K , YANG D C , et al . UAV-assisted relaying and MEC networks:resource allocation and 3D deployment [C ] // Proceedings of 2021 IEEE International Conference on Communications Workshops . Piscataway:IEEE Press , 2021 : 1 - 6 .

GUO F X , ZHANG H L , JI H , et al . Joint trajectory and computation offloading optimization for UAV-assisted MEC with NOMA [C ] // Proceedings of IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops . Piscataway:IEEE Press , 2019 : 1 - 6 .

XU Y , ZHANG T K , LOO J , et al . Completion time minimization for UAV-assisted mobile-edge computing systems [J ] . IEEE Transactions on Vehicular Technology , 2021 , 70 ( 11 ): 12253 - 12259 .

ASIM M , MASHWANI W K , SHAH H , et al . An evolutionary trajectory planning algorithm for multi-UAV-assisted MEC system [J ] . Soft Computing , 2021 , 26 ( 16 ): 7479 - 7492 .

SUN S , ZHANG G , MEI H , et al . Optimizing multi-UAV deployment in 3-D space to minimize task completion time in UAV-enabled mobile edge computing systems [J ] . IEEE Communications Letters , 2021 , 25 ( 2 ): 579 - 583 .

ZHOU F H , WU Y P , HU R Q , et al . Computation rate maximization in UAV-enabled wireless-powered mobile-edge computing systems [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 9 ): 1927 - 1941 .

XU Y , ZHANG T K , LIU Y W , et al . Computation capacity enhancement by joint UAV and RIS design in IoT [J ] . IEEE Internet of Things Journal , 2022 , 8983 ( 99 ): 1 .

XU Y , ZHANG T K , ZOU Y X , et al . Reconfigurable intelligence surface aided UAV-MEC systems with NOMA [J ] . IEEE Communications Letters , 2022 ( 99 ): 1 .

FAN L Y , YAN W , CHEN X H , et al . An energy efficient design for UAV communication with mobile edge computing [J ] . China Communications , 2019 , 16 ( 1 ): 26 - 36 .

ZHANG J , ZHOU L , ZHOU F H , et al . Computation-efficient offloading and trajectory scheduling for multi-UAV assisted mobile edge computing [J ] . IEEE Transactions on Vehicular Technology , 2019 , 69 ( 2 ): 2114 - 2125 .

ZHANG X C , ZHANG J , XIONG J , et al . Energy-efficient multi-UAV-enabled multiaccess edge computing incorporating NOMA [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 6 ): 5613 - 5627 .

XU Y , ZHANG T K , YANG D C , et al . Joint resource and trajectory optimization for security in UAV-assisted MEC systems [J ] . IEEE Transactions on Communications , 2020 , 69 ( 1 ): 573 - 588 .

LU W D , DING Y , GAO Y , et al . Resource and trajectory optimization for secure communications in dual unmanned aerial vehicle mobile edge computing systems [J ] . IEEE Transactions on Industrial Informatics , 2021 , 18 ( 4 ): 2704 - 2713 .

ZHOU Y , PAN C , YEOH P L , et al . Secure communications for UAV-enabled mobile edge computing systems [J ] . IEEE Transactions on Communications , 2019 , 68 ( 1 ): 376 - 388 .

GU X , ZHANG G , WANG M , et al . UAV-aided energy-efficient edge computing networks:security offloading optimization [J ] . IEEE Internet of Things Journal , 2021 , 9 ( 6 ): 4245 - 4258 .

LIU F , CUI Y , MASOUROS C , et al . Integrated sensing and communications:towards dual-functional wireless networks for 6G and beyond [J ] . IEEE Journal on Selected Areas in Communications , 2022 , 40 ( 6 ): 1728 - 1767 .

浏览量

1005

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于NOMA的超密集MEC网络任务卸载和资源分配方案

关于低轨卫星通信的分析及我国的发展建议

HSM：支持6G密集部署和高速移动性场景的新型网络架构

面向垂直行业专网的确定性SLA指标分级研究

业务驱动的空天地海一体化网络技术研究