Intelligent Strategies for Optimal Virtual Network Function Placement in 5G Core

The proposed project aims at developing novel algorithms for the 5G Core Network Placement to meet Key Performance Indicators (KPIs). The ultimate goal is to minimize the number of virtual network functions in 5G packet core while meeting the latency requirements. Thus, this project aims to address the trade-off between latency and operational costs in a 5G network, which is expected to cover 82% of the population by 2025. Higher speed, lower latency and greater capacity of 5G networks will enable improved livestreaming and improved augmented reality. These improvements will enable various services such as connected cars, advanced gaming, tactile Internet, remote healthcare and many others. The proposed project will follow a holistic approach anchored around three main research themes: 1) Development of real time and feasible algorithms for user and control plane virtual network function (VNF) placement in the 5G packet core, 2) Optimization and AI-enabled models for VNF placement , and 3) Test bed implementation and verification of the developed algorithms. Achieving each of these schemes will enable meeting the core logical components of efficient and low latency 5G networks.

Faculty Supervisor:

Burak Kantarci

Student:

Partner:

Ciena Corporation (Ottawa, ON);Mitacs - Vancouver

Discipline:

Engineering

Sector:

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

University:

University of Ottawa

Program: