Research and prospect of 5G edge computing sharing

Lingbin MENG; Juan LI; Nan XUE; Yong ZOU

doi:10.11959/j.issn.1000-0801.2020171

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Research and prospect of 5G edge computing sharing

Topic: Intelligent Edge Computing | 更新时间：2024-06-05

- Research and prospect of 5G edge computing sharing
- Telecommunications Science Vol. 36, Issue 6, Pages: 38-44(2020)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.1000-0801.2020171
  CLC： TP393
- Published Online：2020-06，
  
  Published：20 June 2020
- 稿件说明：
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Lingbin MENG, Juan LI, Nan XUE, et al. Research and prospect of 5G edge computing sharing[J]. Telecommunications science, 2020, 36(6): 38-44.
DOI：

Lingbin MENG, Juan LI, Nan XUE, et al. Research and prospect of 5G edge computing sharing[J]. Telecommunications science, 2020, 36(6): 38-44. DOI： 10.11959/j.issn.1000-0801.2020171.

摘要

5G三大应用场景对网络的时延、带宽、连接、安全等方面提出了更高的要求，驱动着5G将网络、计算、存储、应用等核心能力下沉至网络边缘，而更靠近终端/用户的 5G 站址具有完备的机房、电力、运维等配套资源，将是5G边缘计算部署的最佳选择。基于点多面广的5G站址资源，结合边缘计算部署的体系架构，深入研究了多运营商 5G 边缘计算共享部署的可行性，提出了机房基础设施共享、IaaS 设施共享、PaaS平台共享3种可行的共建共享方案。通过统筹5G边缘计算发展需求，实现边缘计算的共建共享，可以大幅降低边缘计算的建设成本及运营成本，实现边缘计算的快速规模化发展，打造集约高效、经济适用、智能绿色、安全可靠的边缘计算体系。

Abstract

The three application scenarios of 5G make forward higher requirements for network delay

bandwidth

connection and security

which drive 5G to sink the core capabilities of network

computing

storage and application to the edge of the network.The 5G base station which is closer to the terminal/user and has complete resources such as base station power

operation and maintenance will be the best choice for 5G edge computing deployment.Based on the multi-point 5G base station site resource and the architecture of edge computing deployment

the feasibility of multi-operator 5G edge computing shared deployment was studied

three feasible co-building and sharing schemes

such as base station infrastructure sharing

IaaS facility sharing and PaaS platform sharing were proposed.By coordinating the development needs of 5G edge computing and realizing the co-construction and sharing of edge computing

the construction cost and operation cost of edge computing can be greatly reduced

and the rapid scale development of edge computing can be realized

to build an intensive and efficient

economic and applicable

intelligent green

safe and reliable edge computing system.

关键词

Keywords

references

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