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

Abstract

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

CLC Number:

TP393

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.

Figures/Tables 7

References 36

[1]	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.
[2]	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.
[3]	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.
[4]	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.
[5]	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.
[6]	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.
[7]	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.
[8]	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.
[9]	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.
[10]	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.
[11]	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.
[12]	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.
[13]	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.
[14]	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.
[15]	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.
[16]	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.
[17]	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.
[18]	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.
[19]	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.
[20]	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.
[21]	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.
[22]	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.
[23]	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.
[24]	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.
[25]	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.
[26]	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.
[27]	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.
[28]	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.
[29]	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.
[30]	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.
[31]	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.
[32]	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.
[33]	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.
[34]	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.
[35]	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.
[36]	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.

Metrics

Recommended 0

No Suggested Reading articles found!

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

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

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 36

Related Articles 15

Metrics

Recommended 0

[1]	Yaoyu HE, Chao ZHANG. Airworthiness analysis of low earth orbit satellite communication technology for UAV application [J]. Telecommunications Science, 2023, 39(6): 96-104.
[2]	Yan WANG, Ying PENG. Research on 6G standardization of International Telecommunications Union（ITU） [J]. Telecommunications Science, 2023, 39(6): 129-138.
[3]	Chen ZHANG, Hongkai WANG, Dong MAO, Sichen PAN, Shuai ZHAO. Research and application of 5G lightweight hardware encryption module for power terminals [J]. Telecommunications Science, 2023, 39(6): 159-169.
[4]	Yong ZHANG, Jikui LIU, Wenlong KE. EEG emotion recognition based on parallel separable convolution and label smoothing regularization [J]. Telecommunications Science, 2023, 39(5): 116-128.
[5]	Hao XU, Lin WU. Research on VoWi-Fi interoperability based on 5G network [J]. Telecommunications Science, 2023, 39(5): 144-154.
[6]	Wenjia XU, Yixu WANG, Mugen PENG. Satellite remote sensing and the integration of 6G communication and remote sensing [J]. Telecommunications Science, 2023, 39(4): 60-70.
[7]	Jianbin WANG, Shuchun WANG, Shangjin LIAO, Shuyuan SHI. Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm [J]. Telecommunications Science, 2023, 39(4): 133-141.
[8]	Le ZHANG, Hongyuan MA. Practice on edge cloud security of telecom operators [J]. Telecommunications Science, 2023, 39(4): 165-172.
[9]	Siyang LIU, Yunfei ZHANG. From ICV 1.0 to ICV 2.0: real-time digital twin city construction for the coordinated development of ICV and smart city [J]. Telecommunications Science, 2023, 39(3): 32-44.
[10]	Guanghai LIU, Tian XIAO, Bei LI, Xinzhou CHENG, Yongbei XUE, Yi LI, Xiaomeng ZHU, Yuting ZHENG. Research on 5G service coverage capability before 4G carrier re-farming to 5G [J]. Telecommunications Science, 2023, 39(3): 115-123.
[11]	Ruihong JIANG, Yizhe FENG, Yaohua SUN, Haina ZHENG. A survey on networking key technologies for LEO satellite network [J]. Telecommunications Science, 2023, 39(2): 37-47.
[12]	Jianfeng DAI, Xingyu CHEN, Ligang DONG, Xian JIANG. A triple joint extraction method combining hybrid embedding and relational label embedding [J]. Telecommunications Science, 2023, 39(2): 132-144.
[13]	Chuanbing GONG, Mingshuai YANG, Song WU, Haiping GE, Shouguo ZHANG, Lei LIU, Yunshan QI, Hui XU. Research on the application of site value evaluation model [J]. Telecommunications Science, 2023, 39(1): 100-107.
[14]	Mengzhe ZHANG, Yijun XIA. Status quo, problem and promotion suggestions of 5G application in industrial field [J]. Telecommunications Science, 2023, 39(1): 126-135.
[15]	Hongyuan MA, Wei ZHOU, Yan FU, Yongping SHAO, Dan LI. Discussion on the evolution of architecture of the core network of cellular Internet of things [J]. Telecommunications Science, 2023, 39(1): 153-161.