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

页码：34 / 41

页数：7

共 17 条

[1]

System Architecture for the 5G System, (2018)

[2]

5G White Paper V1, (2015)

[3]

Harmonizing Standards for Edge Computing - A Synergized Architecture Leveraging ETSI ISG MEC and 3GPP Specifications, (2020)

[4]

Multi-access Edge Computing (MEC)

[5]

Framework and Reference Architecture, (2019)

[6]

MEC in 5G Networks, (2018)

[7]

Radio Network Information API, (2019)

[8]

Location API, (2019)

[9]

Multi-access Edge Computing (MEC)

[10]

Study on MEC Support for Alternative Virtualization Technologies, (2019)

← 1 2 →