5G-ELITE: AI-driven 5G Network Slice Operations & Management

5G mobile networks will support a wide range of services beyond traditional voice and data services, such as augmented/virtual reality, autonomous vehicle control, and smart cities, which will open new revenue streams for the mobile network operators. Network slicing is an enabling technology for partitioning the physical network into multiple network slices, each tailored to accommodate the requirements of these diverse services on the same physical network. As 5G networks are being deployed, effective performance and fault management for network slices is becoming increasingly important to the network operators. However, for large network operators like Rogers, traditional reactive human-in-the-loop management approaches cannot cope with the diverse, and stringent 5G service requirements. We propose an automated and proactive approach to network slice management, building on the advances in AI, ML, and large-scale data processing. The proposed research has great potential to materialize in Rogers Communications’ 5G networks, increasing their industrial competitiveness.

Faculty Supervisor:

Raouf Boutaba;Nashid Shahriar;Raouf Boutaba

Student:

Partner:

Rogers Communications Inc.;University of Waterloo

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Regina; University of Waterloo

Program: