Digital twins of physical optical networking infrastructure

物理光网络基础设施的数字孪生

• 批准号: 2751378
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2751378
• 关键词: Digital; twins; physical; optical; networking

In core networks there is a huge quantity of metrology available ranging from SNR and BER measured by the transceivers through to the input and output powers of optical amplifiers and switches. The aim of this PhD project would be to use the metrology information, combined with the underpinning physics to create a digital twin of the physical optical network infrastructure. Not only would the digital twin be updated in real-time, but it would also incorporate the uncertainty into the model allowing for real-time margin allocation to improve the operation of the optical network. Ultimately it would allow the optical network to operate at the limits of performance, based on measurements of the actual infrastructure, so as to allow the throughput as a function of availability to be optimised, to give the best user experience of a given installed infrastructure.

在核心网络中，有大量的可用度量，从收发机测量的SNR和BER，到光放大和开关的输入和输出功率。这个博士项目的目标是使用计量信息，结合支撑物理的物理来创建物理光网络基础设施的数字孪生兄弟。不仅数字双胞胎将被实时更新，而且它还将在模型中纳入不确定性，从而允许实时保证金分配，以改善光网络的运行。最终，它将允许光网络根据对实际基础设施的测量在性能极限下运行，从而使吞吐量作为可用性的函数得到优化，从而提供给定安装的基础设施的最佳用户体验。