AI Orchestrator For Energy-Efficient Future Networks

The information and communication technologies (ICT) sector is an energy intensive and growing sector (with an increase of 9% annually). Recently introduced applications of the next-generation radio networks, namely 5G-and-beyond (5GB), have dramatically accelerated the use of ICT services in many economic sectors, creating a unique opportunity to improve our quality of life. In this project, we will optimize a cloud-edge fabric model with respect to new requirements of next-generation radio applications and minimized energy consumption. Based on an artificial intelligence (AI) orchestrator, this model will be able to automatically adapt to the requirements of different classes of users while being eco-responsible. Services will be provided to end users through virtual network slices, which are optimized from end to end. The findings of the project will be assessed and quantified on the ENCQOR (Evolution of Networked Services through a Corridor in Quebec and Ontario for Research and Innovation) network. This outcome will have the potential to be standardized in OpenRAN (O-RAN) alliance and hence be used worldwide.

Faculty Supervisor:

Kim Khoa Nguyen

Student:

Partner:

Université de Lorraine

Discipline:

Engineering

Sector:

Education

University:

École de technologie supérieure

Program: