意图驱动的6G无线接入网络

周洋程; 闫实; 彭木根

doi:10.11959/j.issn.2096-3750.2020.00146

您当前的位置：

首页 >

文章列表页 >

意图驱动的6G无线接入网络

专题：物联网与6G | 更新时间：2024-06-05

- 意图驱动的6G无线接入网络
- Intent-driven 6G radio access network
- 物联网学报 2020年4卷第1期页码：72-79
- 作者机构：
- 作者简介：
  
  [ "周洋程（1995- ），女，河南南阳人，北京邮电大学网络与交换技术国家重点实验室硕士生，主要研究方向为6G无线组网和雾无线网络等" ]
  [ "闫实（1988- ），男，北京人，北京邮电大学信息与通信工程学院讲师，主要研究方向为6G无线组网、雾无线网络和智慧物联网等" ]
  [ "彭木根（1978- ），男，江西永丰人，北京邮电大学网络与交换技术国家重点实验室副主任、教授，主要研究方向为6G无线组网、雾无线网络和智慧物联网等" ]
- 基金信息：
  
  国家自然科学基金重点资助项目;The National Natural Science Foundation of China(61925101);北京市自然科学基金资助项目;Beijing Natural Science Foundation(JQ18016)
- DOI：10.11959/j.issn.2096-3750.2020.00146
  中图分类号： TN929.5
- 纸质出版日期：2020-03-30，
  
  网络出版日期：2020-03，
- 稿件说明：
移动端阅览
周洋程, 闫实, 彭木根. 意图驱动的6G无线接入网络[J]. 物联网学报, 2020,4(1):72-79.

YANGCHENG ZHOU, SHI YAN, MUGEN PENG. Intent-driven 6G radio access network. [J]. Chinese journal on internet of things, 2020, 4(1): 72-79.
周洋程, 闫实, 彭木根. 意图驱动的6G无线接入网络[J]. 物联网学报, 2020,4(1):72-79. DOI： 10.11959/j.issn.2096-3750.2020.00146.

YANGCHENG ZHOU, SHI YAN, MUGEN PENG. Intent-driven 6G radio access network. [J]. Chinese journal on internet of things, 2020, 4(1): 72-79. DOI： 10.11959/j.issn.2096-3750.2020.00146.

摘要

为了满足未来物联网全频谱、全场景、全业务的组网需求，降低组网成本和人力投入，提升无线接入网的智能性，业界提出了意图驱动的6G无线接入网络（ID-RAN

intent-driven radio access network）。ID-RAN以人工智能、网络功能虚拟化、软件定义网络等技术为基础，能够将用户或运营商对网络期望的业务、性能和组网“意图”转化为实际组网策略，从而实现网络的高效柔性可重构。首先概述了ID-RAN的体系架构，然后对意图转译、冲突解决、配置激活、网络性能评估与优化等关键技术进行了介绍，最后通过开放式软件定义硬件平台展示了意图驱动的6G无线组网性能。

Abstract

To satisfy the requirements of full-spectrum

full-scenario and full-service networking in the future Internet of things

the intent-driven radio access network (ID-RAN) is proposed for the 6G wireless communication system to decrease the networking costs and save the labor expense

while enhancing the intelligent capabilities of the radio access network.Based on the artificial intelligence

network function virtualization and software-defined networking

the intents from applications

performance requirements and networking status can be translated to the configuration and optimization strategies by the proposed ID-RAN

which enables 6G work efficiently

flexibility and elastically.The system architecture of ID-RAN was proposed firstly

and then the principles and solutions of key techniques were formulated

including intent translation

conflict resolution

configuration trigger

performance evaluation and optimization.Meanwhile

the open software-defined hardware platform for ID-RAN was built

and the corresponding performances aimed for 6G were presented.

关键词

6G意图驱动无线接入网人工智能硬件平台

Keywords

6Gintent-driven radio access network (ID-RAN)artificial intelligencehardware platform

references

PENG M G, LI Y, ZHAO Z Y ,et al. System architecture and key technologies for 5G heterogeneous cloud radio access networks[J]. IEEE Network, 2015,29(2): 6-14.

中国移动研究院. 2030+愿景与需求报告[S]. 2019.

China Mobile Research Institute. 2030 + vision and demand report[S]. 2019.

QIN W, CHEN S, PENG M G . Recent advances in industrial Internet:insights and challenges[J]. Digital Communications and Networks, 2019(7).

SUN Y H, PENG M G, ZHOU Y C ,et al. Application of machine learning in wireless networks:key techniques and open issues[J]. IEEE Communications Surveys ＆ Tutorials, 2019,21(4): 3072-3108.

赵亚军, 郁光辉, 徐汉青 . 6G移动通信网络:愿景、挑战与关键技术[J]. 中国科学:信息科学, 2019,49(8): 963-987.

ZHAO Y J, YU G H, XU H Q . 6G mobile communication network:vision,challenge and key technology[J]. Scientia Sinica (Informationis), 2019,49(8): 963-987.

中国电信. 中国电信5G技术白皮书[S]. 2018.

China Telecom. China Telecom 5G technical white paper[S]. 2018.

云杉. IBN中国十问[S]. 2018.

Yunshan. IBN China ten questions[S]. 2018.

ANDREW L, JOE S, SANJIT G . Innovation insight:intent-based networking system[S]. 2017.

Open Networking Foundation (ONF). Intent NBI—definition and principles:TR-523[S]. 2016.

李凤凯, 张亚丽, 夏寅贲 . NEMO:一种声明式网络编程与业务定制语言[J]. 信息通信技术, 2016(4): 65-74.

LI F K, ZHANG Y L, XIA Y B . NEMO:a declarative network programming and service customization language[J]. Information and Communications Technologies, 2016(4): 65-74.

LAMPLE G, BALLESTEROS M, SUBRAMANIAN S ,et al. Neural architectures for named entity recognition[C]// The 2016 Conference of the North American Chapter of the Association for Computational Linguistics. 2016.

SUTSKEVER I, VINYALS O, LE Q V . Sequence to sequence learning with neural networks[C]// International Conference on Neural Information Processing Systems (NIPS’14). MIT, 2014.

PELOSI G, SELLERI S . To celigny,in the footprints of vilfredo pareto“optimum”[J]. IEEE Antennas and Propagation Magazine, 2014,56(3): 249-254.

马永杰, 陈敏, 龚影 ,等. 动态多目标优化进化算法研究[J]. 自动化学报, 2019

MA Y J, CHEN M, GONG Y ,et al. Research on evolutionary algorithm of dynamic multi-objective optimization[J]. Acta Automatica Sinica, 2019

MNIH V, KAVUKCUOGLU K, SILVER D ,et al. Human-level control through deep reinforcement learning[J]. Nature, 2015,518(7540): 529-533.

Cisco. Next-generation architecture for cable operator networks:SDN and network function virtualization white paper[S]. 2019.

3GPP.System architecture for the 5G system:TS23.501[S]. 2019

李琳 . 无线网络虚拟化及联合管理技术研究[D]. 北京:北京邮电大学, 2019.

LI L . Research on virtualization and joint management technology of wireless network[D]. Beijing:Beijing University of Posts and Telecommunications, 2019.

浏览量

1415

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

联邦边缘智能网络碳排放评估及优化

联邦学习赋能6G网络综述

6G移动通信网络数据服务与数据面

车联网边缘智能：概念、架构、问题、实施和展望

面向万物智联的云原生网络