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A Method of Dynamic Resource Adjustment for 5G Network Slice

  • Qinghai Ou
  • Jigao Song
  • Yanru Wang
  • Zhiqiang Wang
  • Yang YangEmail author
  • Diya Ran
  • Lei Feng
Conference paper
  • 2 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1143)

Abstract

5G network supports multiple application scenarios with different performance requirements. In various application scenarios, the network needs to meet different delay, reliability, and speed requirements. Network slicing is the best solution to this problem. The traffic volume changes over time, which causes the resource utilization of network slices to change frequently. The static allocation of resources in the network slice may have insufficient resource utilization or resource overload. Therefore, it is necessary to dynamically adjust the resource amount of the network slice to optimize the utilization of network resources. Based on the above analysis and requirements, this paper proposes a dynamic resource adjustment scheme (DRAS) in the network slice of 5G local transmission network, in order to improve the utilization of network resources. Finally, the simulation results show that the scheme is superior to the non-dynamic resource allocation scheme (non-DRAS).

Keywords

5G network Network slicing Resource allocation 

Notes

Acknowledgements

This work is supported by 2019 State Grid Science and Technology project “Analysis of Power Wireless Private Network Evolution and 4G/5G Technology Application”.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • Qinghai Ou
    • 1
  • Jigao Song
    • 1
  • Yanru Wang
    • 1
  • Zhiqiang Wang
    • 2
  • Yang Yang
    • 3
    Email author
  • Diya Ran
    • 3
  • Lei Feng
    • 3
  1. 1.Beijing Fibrlink Communications Co., Ltd.BeijingChina
  2. 2.State Grid Shanxi Electric Power CompanyXi’anChina
  3. 3.State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijingChina

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