Educational 5G Edge Computing: Framework and Experimental Study

Benefiting from the large-scale commercial use of 5G, smart campuses have attracted increasing research attention in recent years and are expected to revolutionize traditional campus activities. However, there are some obstacles that hinder the practical deployment of MEC (multi-access edge computin...

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Main Authors: Qingyong Chen, Zhe Wang, Yu Su, Luwei Fu, Yuanlun Wei
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/17/2727
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author Qingyong Chen
Zhe Wang
Yu Su
Luwei Fu
Yuanlun Wei
author_facet Qingyong Chen
Zhe Wang
Yu Su
Luwei Fu
Yuanlun Wei
author_sort Qingyong Chen
collection DOAJ
description Benefiting from the large-scale commercial use of 5G, smart campuses have attracted increasing research attention in recent years and are expected to revolutionize traditional campus activities. However, there are some obstacles that hinder the practical deployment of MEC (multi-access edge computing). First, traditional information infrastructures on campus cannot support latency-sensitive and computing-intensive smart applications, such as AR/VR, live interactive lectures and digital twin experiments. In addition, the mixture of old and new applications, isolated data islands and heterogeneous equipment management introduce more challenges. Moreover, the existing MEC framework proposed by ETSI and 3GPP cannot meet the specific deployment requirements of smart campuses, e.g., educational data security, real-time interactive applications, heterogeneous connections, and others. In this paper, we propose a 5G-based architecture for smart education information infrastructure; a new dedicated cloud architecture eMEC (educational multi-access edge computing) is defined. It consists of a UGW (universal access gateway) and an eMEP (educational multi-access edge computing platform), making it possible to satisfy education-specific requirements and long-term evolution. Furthermore, we implement the framework and conduct real-world field tests for eMEC in a university campus. Based on the framework and practical field tests, we also conduct a measurement study to unveil the spatial-temporal characteristics of mobile users in the smart campus and discuss exploiting them for better network performance. The experimental results show that the system achieves satisfactory performance in terms of both throughput and latency.
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spelling doaj.art-0d024a0e9b054675bf8833a94ff809dc2023-11-23T12:58:32ZengMDPI AGElectronics2079-92922022-08-011117272710.3390/electronics11172727Educational 5G Edge Computing: Framework and Experimental StudyQingyong Chen0Zhe Wang1Yu Su2Luwei Fu3Yuanlun Wei4School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610000, ChinaDepartment of Computer Science, University of Exeter, Exeter EX4 4PY, UK Education Product No. 2 Center, China Mobile (Chengdu) Industrial Research Institute, Chengdu 610000, ChinaSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610000, ChinaEducation Product No. 2 Center, China Mobile (Chengdu) Industrial Research Institute, Chengdu 610000, ChinaBenefiting from the large-scale commercial use of 5G, smart campuses have attracted increasing research attention in recent years and are expected to revolutionize traditional campus activities. However, there are some obstacles that hinder the practical deployment of MEC (multi-access edge computing). First, traditional information infrastructures on campus cannot support latency-sensitive and computing-intensive smart applications, such as AR/VR, live interactive lectures and digital twin experiments. In addition, the mixture of old and new applications, isolated data islands and heterogeneous equipment management introduce more challenges. Moreover, the existing MEC framework proposed by ETSI and 3GPP cannot meet the specific deployment requirements of smart campuses, e.g., educational data security, real-time interactive applications, heterogeneous connections, and others. In this paper, we propose a 5G-based architecture for smart education information infrastructure; a new dedicated cloud architecture eMEC (educational multi-access edge computing) is defined. It consists of a UGW (universal access gateway) and an eMEP (educational multi-access edge computing platform), making it possible to satisfy education-specific requirements and long-term evolution. Furthermore, we implement the framework and conduct real-world field tests for eMEC in a university campus. Based on the framework and practical field tests, we also conduct a measurement study to unveil the spatial-temporal characteristics of mobile users in the smart campus and discuss exploiting them for better network performance. The experimental results show that the system achieves satisfactory performance in terms of both throughput and latency.https://www.mdpi.com/2079-9292/11/17/27275Gmulti-access edge computingeducational systemeMECfield test
spellingShingle Qingyong Chen
Zhe Wang
Yu Su
Luwei Fu
Yuanlun Wei
Educational 5G Edge Computing: Framework and Experimental Study
Electronics
5G
multi-access edge computing
educational system
eMEC
field test
title Educational 5G Edge Computing: Framework and Experimental Study
title_full Educational 5G Edge Computing: Framework and Experimental Study
title_fullStr Educational 5G Edge Computing: Framework and Experimental Study
title_full_unstemmed Educational 5G Edge Computing: Framework and Experimental Study
title_short Educational 5G Edge Computing: Framework and Experimental Study
title_sort educational 5g edge computing framework and experimental study
topic 5G
multi-access edge computing
educational system
eMEC
field test
url https://www.mdpi.com/2079-9292/11/17/2727
work_keys_str_mv AT qingyongchen educational5gedgecomputingframeworkandexperimentalstudy
AT zhewang educational5gedgecomputingframeworkandexperimentalstudy
AT yusu educational5gedgecomputingframeworkandexperimentalstudy
AT luweifu educational5gedgecomputingframeworkandexperimentalstudy
AT yuanlunwei educational5gedgecomputingframeworkandexperimentalstudy