一种5G网络切片的编排算法

周恒; 畅志贤; 杨武军; 郭娟

doi:10.11959/j.issn.1000-0801.2017218

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一种5G网络切片的编排算法

研究与开发 | 更新时间：2024-06-05

- 一种5G网络切片的编排算法
- An orchestration algorithm of 5G network slicing
- 电信科学 2017年33卷第8期页码：130-137
- 作者机构：
- 作者简介：
  
  [ "周恒（1996-），男，西安邮电大学通信与信息工程学院在读，主要研究方向为宽带无线通信和SDN。" ]
  [ "畅志贤（1981-），女，博士，西安邮电大学通信与信息工程学院讲师，主要研究方向为宽带无线通信与SDN技术。" ]
  [ "杨武军（1969-），男，西安邮电大学通信与信息工程学院通信工程系主任、副教授，主要研究方向为移动互联网与SDN。" ]
  [ "郭娟（1973-），女，西安邮电大学通信与信息工程学院通信工程系副主任、副教授，主要研究方向为宽带通信网与SDN。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61501371);陕西省科技厅工业攻关项目;Industrial Research Project of Science and Technology Department of Shaanxi Province(2014K09-14);陕西省科技厅国际合作项目;International Cooperation Project of Shaanxi Province Science and Technology Department(2014KW02-02);陕西省教育厅项目;Education Department Foundation of Shaanxi Province(16JK1685)
- DOI：10.11959/j.issn.1000-0801.2017218
  中图分类号： TN929.5
- 网络出版日期：2017-08，
  
  纸质出版日期：2017-08-15
- 稿件说明：
移动端阅览
周恒, 畅志贤, 杨武军, 等. 一种5G网络切片的编排算法[J]. 电信科学, 2017,33(8):130-137.

Heng ZHOU, Zhixian CHANG, Wujun YANG, et al. An orchestration algorithm of 5G network slicing[J]. Telecommunications science, 2017, 33(8): 130-137.
周恒, 畅志贤, 杨武军, 等. 一种5G网络切片的编排算法[J]. 电信科学, 2017,33(8):130-137. DOI： 10.11959/j.issn.1000-0801.2017218.

Heng ZHOU, Zhixian CHANG, Wujun YANG, et al. An orchestration algorithm of 5G network slicing[J]. Telecommunications science, 2017, 33(8): 130-137. DOI： 10.11959/j.issn.1000-0801.2017218.

摘要

网络切片是基于SDN/NFV的5G网络架构实现按需组网的一种重要技术。通过分析5G主要场景，提出了 SDN/NFV 架构下一种基于 GA-PSO 优化的网络切片编排算法。该算法利用粒子群算法能够快速收敛于全局最优解的特性，设计网络切片性能的评价函数。并且利用遗传算法快速随机搜索的能力，实现对网络切片的更新和优化，利用粒子群追逐局部最优解与全局最优解得到最优网络切片。仿真实验结果表明，该算法能够实现对多业务场景网络切片的个性化创建，充分发挥SDN 的集中控制方式的优点，在降低网络能耗的同时，提高网络资源利用率。

Abstract

The network slicing is an important technology for 5G to implement the on-demand networking based on SDN/NFV network architecture.According to the main scene of 5G

a network segmentation algorithm based on GA-PSO was proposed in SDN/NFV architecture.The merit of quick converging to the global optimal solution was used to design the evaluation function of the network slicing.Using the ability of the fast random search of genetic algorithm

the updating and optimization of the network slices could be realized by using the particle swarm to chase the local optimal solution and the global optimal solution.The simulation results show that the algorithm can realize the personalized creation of multi-service scene network slices

and give full play to the advantages of SDN centralized control mode.It can reduce the energy consumption of the network and improve the utilization rate of cyber source at the same time.

关键词

Keywords

references

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