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基于鲁棒优化的卫星虚拟网络准入控制与资源分配研究
引用本文:梁承超, 柏耀辅, 陈前斌. 基于鲁棒优化的卫星虚拟网络准入控制与资源分配研究[J]. 电子与信息学报, 2023, 45(12): 4327-4335. doi: 10.11999/JEIT221381
作者姓名:梁承超  柏耀辅  陈前斌
作者单位:重庆邮电大学通信与信息工程学院 重庆 400065
基金项目:“十三五”民用航天技术预先研究(D030301);;国家自然科学基金(62001076,62071078);;重庆市自然科学基金(cstc2020jcyj-msxmX0878)~~;
摘    要:网络虚拟化是一项未来网络发展的重要技术。针对卫星虚拟网络(SVN)中用户服务质量(QoS)可能受到严重影响的问题,该文提出一种用于SVN准入控制的方法,通过限制嵌入卫星物理网络中SVN的数量可以有效保证用户的QoS。具体而言,首先,该文提出一种两阶段SVN嵌入机制,该机制将短期资源分配与长期准入控制和资源租赁解耦。其次,该文同时考虑用户到达率时变导致流量需求不确定和卫星网络拓扑高动态性导致系统容量不确定的情况,将第1阶段的准入控制和资源租赁问题描述为鲁棒优化问题,再利用伯恩施坦近似将其转化为凸问题进行求解。最后,该文将第2阶段的资源分配问题转化为最大化公平带宽分配的凸问题进行求解。仿真结果表明了该文所提方法的有效性。

关 键 词:卫星虚拟网络   准入控制   资源分配   鲁棒优化
收稿时间:2022-11-03
修稿时间:2023-08-31

Research on Satellite Virtual Network Admission Control and Resource Allocation Based on Robust Optimization
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
Authors:LIANG Chengchao  BAI Yaofu  CHEN Qianbin
Affiliation:School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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.
Keywords:Satellite Virtual Networks (SVN)  Admission control  Resource allocation  Robust optimization
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