Grant: Alliance Grants
Université d'Ottawa
$25,000.00
Intelligent Strategies for Optimal Virtual Network Function Placement in 5G Core
EF 2023-24
Résumé
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. The proposed research themes are novel and respond to the emerging needs of the increasing demands in the management and control of 5G packet core. Accordingly, this project relies on heuristic, optimization and machine learning-based planning schemes to develop intelligent and cost-efficient strategies, techniques, algorithms, and methods for each of the studied themes. This will consequently result in million dollars of gains by saving from what is spent for recovering SLA violations due to not being able to meet latency requirements, as well as savings from operational expenditures for placing many VNFs across the network core. Furthermore, while addressing the latency and efficient management needs of the partner company, Ciena, many businesses across the country will benefit from the outcomes as they will serve for the needs of the Canadian Information and Communication Technology (ICT) sector to take the lead in the AI-enabled 5G networks and ecosystems enabled by 5G.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
576762-2022
Name nom
Kantarci, Burak BK
Department département
Electrical Engineering and Computer Science , School of
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
25000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2513
Research subject group en
Electrical and electronic engineering
Research subject group fr
Data communications
Research subject en
Génie électrique et électronique
Research subject fr
Transmission des données
Application title
Intelligent Strategies for Optimal Virtual Network Function Placement in 5G Core
Keyword
5G Communications; Machine Learning; Network Resiliency; Optimization; Quality of Experience; Quality of Service; Reinforcement LEarning; Software Defined Networking; Virtual Network Function Placement; Virtual Network functions
Application summary
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. The proposed research themes are novel and respond to the emerging needs of the increasing demands in the management and control of 5G packet core. Accordingly, this project relies on heuristic, optimization and machine learning-based planning schemes to develop intelligent and cost-efficient strategies, techniques, algorithms, and methods for each of the studied themes. This will consequently result in million dollars of gains by saving from what is spent for recovering SLA violations due to not being able to meet latency requirements, as well as savings from operational expenditures for placing many VNFs across the network core. Furthermore, while addressing the latency and efficient management needs of the partner company, Ciena, many businesses across the country will benefit from the outcomes as they will serve for the needs of the Canadian Information and Communication Technology (ICT) sector to take the lead in the AI-enabled 5G networks and ecosystems enabled by 5G.