Cloud computing technology applied in 5G mobile communication network

Weiting Gao; Yuxiang Xiao; Haoxu Yin

doi:10.54254/2755-2721/19/20230999

Research Article

Open access

Published on 23 October 2023

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Gao,W.;Xiao,Y.;Yin,H. (2023). Cloud computing technology applied in 5G mobile communication network. Applied and Computational Engineering,19,1-8.

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Cloud computing technology applied in 5G mobile communication network

Weiting Gao ¹, Yuxiang Xiao ², Haoxu Yin *^,3,

¹ Tianjin University of Science and Technology
² Nanjing Tech University
³ Lanzhou University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/19/20230999

Abstract

5G mobile communication network and cloud computing are the technological products and focus of today's era. Compared to 5G, 5G has seen a huge increase in peak speeds to 10-20Gbit/s, air interface latency as low as 1ms and much more. Cloud computing uploads data to the cloud so that users can access it more easily. They bring great convenience and high working efficiency to people's life. The use of cloud computing in 5G could make more efficient.5G, as a combination of new technology and cloud computing, will become a much larger market. This paper mainly describes the theoretical basis of 5G mobile communication network and cloud computing, the application of cloud computing in 5G (including automatic driving technology, surgery mobile communication network) and the current dilemma and the improvement needed. It aims to further promote the combination of 5G mobile communication network and cloud computing.

Keywords

5G, cloud computing, mobile communication network

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References

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Cite this article

Gao,W.;Xiao,Y.;Yin,H. (2023). Cloud computing technology applied in 5G mobile communication network. Applied and Computational Engineering,19,1-8.

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About volume

Volume title: Proceedings of the 5th International Conference on Computing and Data Science

Conference website: https://2023.confcds.org/

ISBN：978-1-83558-029-5(Print) / 978-1-83558-030-1(Online)

Conference date: 14 July 2023

Editor：Roman Bauer, Marwan Omar, Alan Wang

Series: Applied and Computational Engineering

Volume number: Vol.19

ISSN：2755-2721(Print) / 2755-273X(Online)

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