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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MDPI AG
2022-08-01
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Series: | Electronics |
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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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format | Article |
id | doaj.art-0d024a0e9b054675bf8833a94ff809dc |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-03-10T01:54:37Z |
publishDate | 2022-08-01 |
publisher | MDPI AG |
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series | Electronics |
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 |
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