Integration of Generative AI into AI-native services in next generation networks

The project aims to innovate by applying generative AI to network infrastructure, focusing on the development of models that can autonomously design network topologies, anticipate traffic patterns, and simulate various scenarios to proactively address potential issues. This collaboration will blend Nokia’s technological strength with the University of Ottawa’s leading research to create AI-driven network solutions. These solutions will be prototyped and rigorously tested in real-world environments using the university’s advanced research facilities and those of its partners.
Bridging generative AI with network management is expected to significantly boost performance, offering enhanced data speeds, reduced latency, and more efficient bandwidth usage. These improvements are vital as the demand for high-speed internet continues to rise, ensuring networks are robust and capable of meeting future connectivity demands.
Additionally, the project will focus on developing self-optimizing networks, which will reduce the need for manual oversight, thus cutting operational costs and improving response times to network issues. This innovation will lead to the creation of more scalable and resilient network infrastructures. Ultimately, the goal is to leverage generative AI to build intelligent, efficient, and autonomous networks that can meet the future demands of an increasingly interconnected world.

Faculty Supervisor:

Burak Kantarci

Student:

Partner:

Nokia Canada Inc (ON)

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Ottawa

Program: