意图驱动端到端网络切片编排与控制

doi:10.11959/j.issn.1000-0801.2023176

电信科学 ›› 2023, Vol. 39 ›› Issue (9): 1-11.doi: 10.11959/j.issn.1000-0801.2023176

• 专题：网络智能化与生成式人工智能 •

意图驱动端到端网络切片编排与控制

赵晓雪¹, 薛富国², 张露露¹, 欧阳颖¹, 杨春刚¹

¹ 西安电子科技大学，陕西西安 710071
² 中国移动通信集团陕西有限公司，陕西西安 710077

修回日期:2023-09-02 出版日期:2023-08-01 发布日期:2023-08-01
作者简介:赵晓雪（2000- ），女，西安电子科技大学硕士生，主要研究方向为意图驱动网络、网络级意图目标自适应分解及映射
薛富国（1977- ），男，博士，中国移动通信集团陕西有限公司高级工程师，主要研究方向为意图驱动网络、招投标管理等
张露露（1997- ），女，西安电子科技大学硕士生，主要研究方向为意图驱动网络、卫星网络管理
欧阳颖（1995- ），女，西安电子科技大学博士生，主要研究方向为意图驱动网络、空天地一体化网络
杨春刚（1982- ），男，博士，西安电子科技大学教授，电气电子工程师学会（IEEE）高级会员，中国通信学会高级会员，主要研究方向为意图驱动智简网络、智能网络信息体系、软件定义网络自治、认知天地网络融合和网络通信博弈论等
基金资助:
国家重点研发计划项目(2020YFB1807702)

Intent-driven end-to-end network slicing orchestration and control

Xiaoxue ZHAO¹, Fuguo XUE², Lulu ZHANG¹, Ying OUYANG¹, Chungang YANG¹

¹ Xidian University, Xi’an 710071, China
² China Mobile Group Shaanxi Co., Ltd., Xi’an 710077, China

Revised:2023-09-02 Online:2023-08-01 Published:2023-08-01
Supported by:
The National Key Research and Development Program of China(2020YFB1807702)

摘要/Abstract

摘要：

6G系统将实现面向千行百业的多样化和定制化的按需网络服务。端到端网络切片可为用户提供按需灵活的服务保障。然而，现有的基于网络切片的网络服务编排与控制技术存在人工参与度高、配置复杂度高及运维成本高等问题。因此，需要一种解决方案应对这些挑战。意图驱动网络具有灵活可重构和自适应策略优化等特性，可提升用户端到端的服务体验。提出了意图驱动端到端网络切片编排与控制系统架构，该系统由业务应用层、意图使能层和基础设施层构成；在此基础上，设计了意图解析模块、编排与控制模块；并从用户满意度和系统智能性等角度构建效用评估模型，通过仿真评估系统效用。

关键词: 意图驱动网络, 端到端网络切片, 编排与控制, 效用评估

Abstract:

The 6G system will realize diversified and customized on-demand network services for thousands of industries.End-to-end network slicing can provide users with on-demand and flexible service guarantees.However, the existing network service orchestration and control based on network slicing has problems such as high manual participation, high configuration complexity, and high operation and maintenance cost.Therefore, a solution is urgently needed to meet these challenges.Intent-driven network has the characteristics of flexible reconfiguration and adaptive policy optimization, which can improve the user’s end-to-end service experience.An intent-driven end-to-end network slicing orchestration and control system architecture was proposed, which consisted of business application layer, intent-enabled layer and infrastructure layer.On this basis, the intent parsing module, orchestration and control module were designed.Furthermore, a utility evaluation model was constructed from the perspectives of user satisfaction and system intelligence, and system utility was evaluated through simulation.

Key words: intent-driven network, end-to-end network slicing, orchestration and control, utility evaluation, The National Key Research and Development Program of China

中图分类号:

TP393

赵晓雪, 薛富国, 张露露, 欧阳颖, 杨春刚. 意图驱动端到端网络切片编排与控制[J]. 电信科学, 2023, 39(9): 1-11.

Xiaoxue ZHAO, Fuguo XUE, Lulu ZHANG, Ying OUYANG, Chungang YANG. Intent-driven end-to-end network slicing orchestration and control[J]. Telecommunications Science, 2023, 39(9): 1-11.

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参考文献 24

[1]	KATSALIS K , NIKAEIN N , SCHILLER E ,et al. Network slices toward 5G communications:slicing the LTE network[J]. IEEE Communications Magazine, 2017,55(8): 146-154.
[2]	BARAKABITZE A A , AHMAD A , MIJUMBI R ,et al. 5G network slicing using SDN and NFV:a survey of taxonomy,architectures and future challenges[J]. Computer Networks, 2020(167): 106984.
[3]	AFOLABI I , TALEB T , FRANGOUDIS P A ,et al. Network slicing-based customization of 5G mobile services[J]. IEEE Network, 2019,33(5): 134-141.
[4]	PANG L , YANG C G , CHEN D Y ,et al. A survey on intent-driven networks[J]. IEEE Access, 2020(8): 22862-22873.
[5]	YANG C G , MI X R , OUYANG Y ,et al. SMART intent-driven network management[J]. IEEE Communications Magazine, 2023,61(1): 106-112.
[6]	CHANG X T , YANG C G , WANG H ,et al. KID:knowledge graph-enabled intent-driven network with digital twin[C]// Proceedings of 2022 27th Asia Pacific Conference on Communications (APCC). Piscataway:IEEE Press, 2022: 272-277.
[7]	MI X R , SONG Y B , YANG C G ,et al. Intent-driven wireless 6G mobile communication systems with fundamentals,architecture,and use case[C]// Proceedings of 2022 IEEE International Conference on Signal Processing,Communications and Computing (ICSPCC). Piscataway:IEEE Press, 2022: 1-6.
[8]	DONG R , YANG C G , GUO J J ,et al. An intent-driven next-generation mobile communication management system[C]// Proceedings of 2022 IEEE 22nd International Conference on Communication Technology (ICCT). Piscataway:IEEE Press, 2023: 1270-1275.
[9]	ZHANG J W , YANG C G , ANPALAGAN A ,et al. IDSM:intent-driven slice management and maintenance for 6G RANs[C]// Proceedings of 2022 IEEE 22nd International Conference on Communication Technology (ICCT). Piscataway:IEEE Press, 2023: 1244-1249.
[10]	ABBAS K , AFAQ M , KHAN T A ,et al. IBNSlicing:intent-based network slicing framework for 5G networks using deep learning[C]// Proceedings of 2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS). Piscataway:IEEE Press, 2020: 19-24.
[11]	RAFIQ A , MEHMOOD A , AHMED KHAN T ,et al. Intent-based end-to-end network service orchestration system for multi-platforms[J]. Sustainability, 2020,12(7): 2782.
[12]	CERRONI W , BURATTI C , CERBONI S ,et al. Intent-based management and orchestration of heterogeneous openflow/IoT SDN domains[C]// Proceedings of 2017 IEEE Conference on Network Softwarization (NetSoft). Piscataway:IEEE Press, 2017: 1-9.
[13]	MWANJE S S , BANERJEE A , GOERGE J ,et al. Intent-driven network and service management:definitions,modeling and implementation[J]. ITU Journal on Future and Evolving Technologies, 2022,3(3): 555-569.
[14]	张露露, 杨春刚, 王栋 ,等. 意图驱动的云网融合按需编排[J]. 电信科学, 2022,38(10): 107-119.
	ZHANG L L , YANG C G , WANG D ,et al. Intent-driven cloud-network convergence on-demand orchestration[J]. Telecommunications Science, 2022,38(10): 107-119.
[15]	ELAVEL V G , DAYANA R , KRISHNAMURTHY S ,et al. 5G UE simulation[C]// Proceedings of 2023 International Conference on Recent Advances in Electrical,Electronics,Ubiquitous Communication,and Computational Intelligence (RAEEUCCI). Piscataway:IEEE Press, 2023: 1-5.
[16]	LIU Y , LI Q L , CAO Q P ,et al. Evaluation of free5GC forwarding performance on private and public clouds[C]// Proceedings of 2022 IEEE Cloud Summit. Piscataway:IEEE Press, 2022: 9-16.
[17]	PAGANELLI F , PARADISO F , GHERARDELLI M ,et al. Network service description model for VNF orchestration leveraging intent-based SDN interfaces[C]// Proceedings of 2017 IEEE Conference on Network Softwarization (NetSoft). Piscataway:IEEE Press, 2017: 1-5.
[18]	李春阳 . 5G 场景的网络编排平台设计[D]. 重庆:重庆大学, 2021.
	LI C Y . Design of network arrangement platform for 5G scenes[D]. Chongqing:Chongqing University, 2021.
[19]	YILMA G M , YOUSAF Z F , SCIANCALEPORE V ,et al. Benchmarking open source NFV MANO systems:OSM and ONAP[J]. Computer Communications, 2020(161): 86-98.
[20]	KHAN T A , ABBASS K , RAFIQUE A ,et al. Generic intent-based networking platform for E2E network slice orchestration ＆ lifecycle management[C]// Proceedings of 2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS). Piscataway:IEEE Press, 2020: 49-54.
[21]	FOUKAS X , NIKAEIN N , KASSEM M M ,et al. FlexRAN:a flexible and programmable platform for software-defined radio access networks[C]// Proceedings of the 12th International on Conference on emerging Networking Experiments and Technologies. New York:ACM Press, 2016: 427-441.
[22]	曹汐, 余立, 马键 ,等. 移动通信网络智能化分级评估方法研究[C]// 5G网络创新研讨会（2019）论文集. 2019: 337-343.
	CAO X , YU L , MA J ,et al. Research on intelligent classification evaluation method of mobile communication network[C]// Proceedings of 5G Network Innovation Seminar Workshop (2019). 2019: 337-343.
[23]	李涛, 王春佳, 李姗姗 . 电信网络智能化方案研究[J]. 电信科学, 2023,39(3): 162-172.
	LI T , WANG C J , LI S S . Research on intelligent scheme of telecommunication network[J]. Telecommunications Science, 2023,39(3): 162-172.
[24]	张平, 许文俊, 王凤玉 ,等. 智简空天地一体化网络[J]. 无线电通信技术, 2022,48(3): 381-384.
	ZHANG P , XU W J , WANG F Y ,et al. Intellicise air-spaceground integrated networks[J]. Radio Communications Technology, 2022,48(3): 381-384.

文献	应用场景	研究内容
[10]	网络切片编排	提出了一种基于意图的端到端网络切片架构，结合深度学习能够有效地预测网络资源状态，实现网络配置和网络管控自动执行
[11]	网络服务编排	提出了一个网络服务编排意图管理系统，用户服务意图可以被转换为编排器可识别的配置文件，之后下发到底层中，实现了网络服务编排
[12]	多域SDN/NFV管理和编排	提出了一个跨多个技术领域的端到端网络管理和编排架构以及基于意图的 NBI，该架构受到ETSI提出的MANO框架的启发
[13]	端到端IDN编排	提出了一个灵活通用的意图定义和端到端意图驱动网络系统体系结构，并对意图驱动网络管控系统的核心方面以及相关的意图建模进行了全面的讨论，以支持它们的标准化

等级	需求映射	数据采集	分析	决策	执行
L0	人工操作	人工操作	人工操作	人工操作	人工操作
L1	人工操作	在预设的场景下可由工具辅助自动完成数据采集	人工操作	人工操作	基本由系统自动完成，少数需要人工参与
L2	人工操作	在多数场景下依据预设规则自动采集数据	在部分预设场景下可依据静态策略自动分析	人工操作	系统自动完成
L3	人工操作	系统自动完成	在多数场景下可自动完成分析	在预设场景下系统可辅助人工自动完成决策	系统自动完成
L4	部分预设场景系统自动完成	系统自动完成（系统自定义采集规则）	系统自动完成（系统自动更新分析策略）	在多数场景下可自动完成决策	系统自动完成

意图驱动端到端网络切片编排与控制

Intent-driven end-to-end network slicing orchestration and control

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参考文献 24

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