Research on Satellite Virtual Network Admission Control and Resource Allocation Based on Robust Optimization

LIANG Chengchao; BAI Yaofu; CHEN Qianbin

doi:10.11999/JEIT221381

Volume 45 Issue 12

Dec. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(12): 4327-4335

LIANG Chengchao, BAI Yaofu, CHEN Qianbin. Research on Satellite Virtual Network Admission Control and Resource Allocation Based on Robust Optimization[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4327-4335. doi: 10.11999/JEIT221381

Citation:

LIANG Chengchao, BAI Yaofu, CHEN Qianbin. Research on Satellite Virtual Network Admission Control and Resource Allocation Based on Robust Optimization[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4327-4335. doi: 10.11999/JEIT221381

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Research on Satellite Virtual Network Admission Control and Resource Allocation Based on Robust Optimization

doi: 10.11999/JEIT221381

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: 135 Civil Aerospace Technology Advance Research Project (D030301), The National Natural Science Foundation of China (62001076, 62071078), The Natural Science Foundation of Chongqing (cstc2020jcyj-msxmX0878)

Received Date: 2022-11-03
Rev Recd Date: 2023-08-31

Available Online: 2023-09-05

Publish Date: 2023-12-26

Abstract

Abstract

Network virtualization is a significant technology for future network development. A method for Satellite Virtual Network (SVN) admission control is proposed in this paper to address the problem that user Quality of Service (QoS) may be severely affected in SVN, which can effectively guarantee user QoS by limiting the number of SVNs embedded in the satellite physical network. Specifically, firstly, a two-stage SVN embedding mechanism is proposed, which decouples short-term resource allocation from long-term admission control and resource leasing. Secondly, considering the uncertainty of traffic demand due to time-varying user arrival rate and the uncertainty of system capacity due to the highly dynamic nature of satellite network topology, the admission control and resource leasing problems in the first stage are described as robust optimization problems, which are then transformed into convex problems using the Bernstein approximation for solution. Finally, the article transforms the resource allocation problem in the second stage into a convex problem that maximizes fair bandwidth allocation for solution. The simulation results demonstrate the effectiveness of the proposed scheme in this paper.
- Satellite Virtual Networks (SVN),
- Admission control,
- Resource allocation,
- Robust optimization

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References(20)

References

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