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QoE-Based Dynamic Resource Allocation Algorithm of 5G Network Slicing

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Exploration of Novel Intelligent Optimization Algorithms (ISICA 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1590))

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Abstract

The slicing technology can meet the diversified and personalized service needs of 5G networks, schedule virtual networks dynamically and improve the operation efficiency of the network. The dynamic resource allocation algorithm among slices is the key for the application of slicing technology, which has also become a research hotspot in recent years. However, the current dynamic resource allocation algorithm of 5G network slicing has many problems such as insufficient fairness, difficulty in ensuring user satisfaction and low resource utilization rate, etc. Under the circumstances of a wide variety of 5G services, it is difficult to meet the needs of user satisfaction under differentiated service conditions only from the perspective of the network. From the perspective of Quality of Experience (QoE), a QoE evaluation system for 5G network is constructed, and a QoE-based dynamic resource allocation algorithm of 5G network slicing on the basis of this system is built in this research. The results of the simulation experiments indicate that the algorithm has significant effect in improving QoE of 5G communities, and it also has good performance in improving the resource utilization rate in the communities.

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Acknowledgement

This work is supported by key field special project of Guangdong Provincial Department of Education with the Grant No.2021ZDZX1029, Characteristic innovation projects of Department of Education of Guangdong Province with the Grant No. KJ2021C014.

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Authors and Affiliations

  1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510642, Guangdong, China

    Wenxiang Wang & Kangshun Li

  2. School of Computer and Information, Dongguan City University, Dongguan, 523808, Guangdong, China

    Kangshun Li

  3. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen, 518000, Guangdong, China

    Hui Wang

Authors
  1. Wenxiang Wang
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  2. Kangshun Li
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  3. Hui Wang
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Corresponding author

Correspondence to Kangshun Li .

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Editors and Affiliations

  1. South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. The University of Aizu, Aizu-Wakamatsu, Japan

    Yong Liu

  3. South China Agricultural University, Guangzhou, China

    Wenxiang Wang

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Wang, W., Li, K., Wang, H. (2022). QoE-Based Dynamic Resource Allocation Algorithm of 5G Network Slicing. In: Li, K., Liu, Y., Wang, W. (eds) Exploration of Novel Intelligent Optimization Algorithms. ISICA 2021. Communications in Computer and Information Science, vol 1590. Springer, Singapore. https://doi.org/10.1007/978-981-19-4109-2_37

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  • DOI: https://doi.org/10.1007/978-981-19-4109-2_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-4108-5

  • Online ISBN: 978-981-19-4109-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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