电信科学 ›› 2022, Vol. 38 ›› Issue (7): 18-30.doi: 10.11959/j.issn.1000-0801.2022163
谷志群1, 张佳玮1, 纪越峰1, 于浩2, 塔里克·塔勒布2
修回日期:
2022-07-12
出版日期:
2022-07-20
发布日期:
2022-07-01
作者简介:
谷志群(1986- ),女,博士,北京邮电大学信息与通信工程学院讲师,主要研究方向为智能光网络基金资助:
Zhiqun GU1, Jiawei ZHANG1, Yuefeng JI1, Hao YU2, Taleb Tarik2
Revised:
2022-07-12
Online:
2022-07-20
Published:
2022-07-01
Supported by:
摘要:
网络的规模升级和超大连接、超高带宽、超低时延应用的不断深化,对光传输网络资源利用和网络差异化服务提出了更高要求,使得传统模型驱动下的网络形态和配置方式面临挑战。基于数据与模型协同驱动思想,提出“3层3循环”架构及其“3可功能”特征的智能光网络技术方案,并对智能化实现技术展开研究,通过开发设计的智能传输网络平台对所提算法的性能进行测试,经验证,数据与模型协同驱动的智能光网络传输性能得到有效提升,为实现网络智能化提供了理论技术支撑。
中图分类号:
谷志群, 张佳玮, 纪越峰, 于浩, 塔里克·塔勒布. 数据与模型协同驱动的智能光网络架构与关键技术[J]. 电信科学, 2022, 38(7): 18-30.
Zhiqun GU, Jiawei ZHANG, Yuefeng JI, Hao YU, Taleb Tarik. Network architecture and key technologies of intelligent optical networks driven by data and model[J]. Telecommunications Science, 2022, 38(7): 18-30.
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