Optical Network Programmability

Tutorial - Th.A.1.T Optical Network Automation and Programmability for 6G: State-of-the-Art, Vision, and Challenges

Carlos Natalino Chalmers University of Technology

The current 6G vision foresees a massive increase in connected devices and more widespread adoption of local/distributed intelligence. To support this paradigm shift, optical networks will need to operate in a more dynamic and flexible fashion, and the control and management will need to be highly automated, programmable, and scalable. In this tutorial, we will analyze which of the 6G requirements can be supported by network automation and programmability, and what are the current developments in these areas. We will conclude by discussing the challenges that need to be addressed in the near future. Speaker Biography Carlos Natalino is a Researcher with the Optical Networks Unit at the Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden. His research interests include machine-learning-as-a-service in the context of network automation and programmability, with use cases involving resource and energy efficiency, security, reliability, and scalability. Dr. Natalino has been involved (as co-PI and/or technical leader) in several Swedish and European projects, collaborating with various industrial and academic partners. He has published more than 50 peer-reviewed papers in journals and conferences. He is a member of the ETSI TeraFlowSDN Technical Steering Committee. He is a member of IEEE.

Th.A.1.1

Digital Twin of a Network and Operating Environment Using Augmented Reality

Haoshuo Chen, Xiaonan Xu, Jesse E. Simsarian, Mijail Szczerban, Rob Harby, Roland Ryf, Mikael Mazur, Lauren Dallachiesa, Nicolas K. Fontaine, John Cloonan, Jim Sandoz, David T. Neilson

Nokia Bell Labs, Murray Hill, USA

Th.A.1.2

AlarmGPT: An Intelligent Operation Assistant for Optical Network Alarm Analysis Using ChatGPT

Yidi Wang1, Jin Li1, Yue Pang1, Yuchen Song1, Lifang Zhang2, Min Zhang1, Danshi Wang1 1 Beijing University of Posts and Telecommunications, Beijing, China. 2 The Intelligent Network Innovation Center of Chinaunicom, Beijing, China