Design of an On-Demand Agile 5G Multi-Access Edge Computing Platform Using Aerial Vehicles

被引:7
作者
Granelli F. [1 ]
Costa C. [2 ]
Zhang J. [3 ]
Bassoli R. [4 ]
Fitzek F.H.P. [3 ]
机构
[1] Technische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop (CeTI)
来源
IEEE Communications Standards Magazine | 2020年 / 4卷 / 04期
关键词
15;
D O I
10.1109/MCOMSTD.001.2000016
中图分类号
学科分类号
摘要
Fast on-demand 5G connectivity can be deployed through the usage of aerial platforms. Indeed, the usage of moving nodes represents at the moment the most interesting and cost-affordable way to bring connectivity and network services in emergency scenarios or in the absence of the network infrastructure. This article presents an architecture for using drones as movable base stations, interconnected with a high altitude platform, capable of deploying multi-access edge computing following current ETSI standards. Moreover, a reinforcement learning algorithm is proposed to enable proper resource allocation in order to guarantee QoS requirements. © 2017 IEEE.
引用
收藏
页码:34 / 41
页数:7
相关论文
共 17 条
[11]  
Samdanis K., Costa-Perez X., Sciancalepore V., From network sharing to multi-tenancy: The 5G network slice broker, IEEE Commun. Mag., 54, 7, pp. 32-39, (2016)
[12]  
Bassoli R., Et al., A virtualized border control system based on UAVs: Design and energy efficiency considerations, 2019 IEEE Aerospace Conf., pp. 1-11, (2019)
[13]  
Mozaffari M., Et al., Beyond 5G with UAVs: Foundations of a 3D wireless cellular network, IEEE Trans. Wireless Commun., 18, 1, pp. 357-372, (2019)
[14]  
Hellaoui H., Et al., Aerial control system for spectrum efficiency in UAV-to-cellular communications, IEEE Commun. Mag., 56, 10, pp. 108-113, (2018)
[15]  
Horwath J., Et al., Experimental verification of optical backhaul links for high-altitude platform networks: Atmospheric turbulence and downlink availability, Int'L. J. Satell. Commun. Net., 25, pp. 501-528, (2007)
[16]  
Dayarathna M., Wen Y., Fan R., Data center energy consumption modeling: A survey, IEEE Commun. Surveys & Tutorials, 18, 1, pp. 732-794, (2016)
[17]  
Sutton R.S., Barto A.G., Reinforcement Learning: An Introduction, (2018)