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Grant: Discovery Grants Program - Individual

Queen's University

$89,000.00

Collaborative Service Provisioning at the Edge in 5G Wireless Networks

EF 2024-25

Résumé
5G, the next generation mobile network, promises to provide ultra-reliable high-speed communications infrastructure to the growing number of mobile users, including connected devices, machines and vehicles associated with the Internet of Things (IoT), as well as the highly demanding steaming video traffic. Services in 5G networks will require support for high mobility, high data rates and low response time. Furthermore, processing an ever-increasing volume of data in real time requires innovative solutions that leverage new developments and networking infrastructures that enable data processing as close to the source as possible. This is known as edge computing. Edge computing has been proven to have a significant impact on offloading traffic/computations from backhaul links/servers and improving users' Quality of Service (QoS). Collaborative edge computing services are provided through the use of the computing, storage and communication resources within user devices, e.g. smart phones, in addition to the infrastructure of the service provider. This proposed research will use edge resources to enhance the ability of 5G networks to meet users' demands and QoS requirements. The research uses novel predictive and collaborative techniques for service provisioning that adapt to changes in user mobility patterns and traffic demands. Machine learning techniques will be used to enhance predictions. The research will be instrumental in achieving ubiquitous wireless broadband access for Canadians and will enhance Canada's position in the telecommunications and mobile services sectors. Training of highly qualified personnel involved in this program will include experience in 5G network design, edge computing techniques and resource representation and management. I expect that five PhD, three Master's and four undergraduate students will receive training through this research program. There is a strong demand for these HQP in the information technology and telecommunications sectors and their future employment will accelerate disseminating next-generation communications technology to Canadian industry.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2019-05667
Name nom
Hassanein, Hossam
Department département
Computing, School of - Computing, School of
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2019
Award amount
89000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
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
2719
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Computer architecture and design
Research subject fr
Architecture d'ordinateur et conception
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Collaborative Service Provisioning at the Edge in 5G Wireless Networks
Keywords
5g wireless networks; edge computing; caching; computational offloading; mobility management; service provisioning; network function virtualization; network architectures; radio resource management; learning algorithms
Application summary
5G, the next generation mobile network, promises to provide ultra-reliable high-speed communications infrastructure to the growing number of mobile users, including connected devices, machines and vehicles associated with the Internet of Things (IoT), as well as the highly demanding steaming video traffic. Services in 5G networks will require support for high mobility, high data rates and low response time. Furthermore, processing an ever-increasing volume of data in real time requires innovative solutions that leverage new developments and networking infrastructures that enable data processing as close to the source as possible. This is known as edge computing. Edge computing has been proven to have a significant impact on offloading traffic/computations from backhaul links/servers and improving users' Quality of Service (QoS). Collaborative edge computing services are provided through the use of the computing, storage and communication resources within user devices, e.g. smart phones, in addition to the infrastructure of the service provider. This proposed research will use edge resources to enhance the ability of 5G networks to meet users' demands and QoS requirements. The research uses novel predictive and collaborative techniques for service provisioning that adapt to changes in user mobility patterns and traffic demands. Machine learning techniques will be used to enhance predictions. The research will be instrumental in achieving ubiquitous wireless broadband access for Canadians and will enhance Canada's position in the telecommunications and mobile services sectors. Training of highly qualified personnel involved in this program will include experience in 5G network design, edge computing techniques and resource representation and management. I expect that five PhD, three Master's and four undergraduate students will receive training through this research program. There is a strong demand for these HQP in the information technology and telecommunications sectors and their future employment will accelerate disseminating next-generation communications technology to Canadian industry.