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Grant: Strategic Projects - Group

Queen's University

$220,000.00

Machine Intelligence and Big Data Analytics for 5G Networks and Beyond

EF 2019-20

Résumé
5G, the next generation mobile network, is anticipated to transform modern societies by providing an ultra-reliable, high-speed communications infrastructure that will connect more than 30 billion devices by 2020. As the complexity of such future networks will be unprecedented compared to earlier networks, their success is largely dependent on intelligent network management tools that can control their operation and reduce costs. In this project, we will develop a smart management solution suite for future 5G networks based on innovative machine learning and big data analytics techniques. The solutions will enable networks to be self-diagnosing and self-organizing and will enhance network capacity and user service while reducing capital and operating expenditures. The research will be carried out by a multidisciplinary team led by experts in mobile communications, machine learning and big data analytics, and navigation and positioning. Three PhD and four MSc students and two postdoctoral fellows will receive comprehensive training in applied machine intelligence and analytics, which are key assets for success in today's job market. The project will also be implemented and evaluated following the best industrial practices and rigor, facilitated by our industrial partner, Ericsson. Ericsson is a global leader in communication technologies, carrying 40% of the world's mobile traffic and employing approximately 23,700 employees in research and development activities. Our research will facilitate the adoption of sophisticated analytics-driven solutions for future 5G networks, and the lessons learned will provide valuable guidance for the design of networks beyond 5G as well. It will, therefore, position the Canadian telecommunications sector as a driver and leader in innovation, attracting further investments in research and development.
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
521432-2018
Name nom
Hassanein, Hossam
Department département
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
2019
Competition year année de concours
2018
Award amount
220000
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1588
Committee name en
Strategic Projects - ICT
Committee name fr
Projets stratégiques - ICT
Area of application code
804
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communication systems and services (planning, organization, services)
Area of application fr
Systèmes et services de communications (planification, organisation et services)
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Installment
inst:2 - 2
Partie
2
Nb partie
2
Application title
Machine Intelligence and Big Data Analytics for 5G Networks and Beyond
Keyword
NSERC
Application summary
5G, the next generation mobile network, is anticipated to transform modern societies by providing an ultra-reliable, high-speed communications infrastructure that will connect more than 30 billion devices by 2020. As the complexity of such future networks will be unprecedented compared to earlier networks, their success is largely dependent on intelligent network management tools that can control their operation and reduce costs. In this project, we will develop a smart management solution suite for future 5G networks based on innovative machine learning and big data analytics techniques. The solutions will enable networks to be self-diagnosing and self-organizing and will enhance network capacity and user service while reducing capital and operating expenditures. The research will be carried out by a multidisciplinary team led by experts in mobile communications, machine learning and big data analytics, and navigation and positioning. Three PhD and four MSc students and two postdoctoral fellows will receive comprehensive training in applied machine intelligence and analytics, which are key assets for success in today's job market. The project will also be implemented and evaluated following the best industrial practices and rigor, facilitated by our industrial partner, Ericsson. Ericsson is a global leader in communication technologies, carrying 40% of the world's mobile traffic and employing approximately 23,700 employees in research and development activities. Our research will facilitate the adoption of sophisticated analytics-driven solutions for future 5G networks, and the lessons learned will provide valuable guidance for the design of networks beyond 5G as well. It will, therefore, position the Canadian telecommunications sector as a driver and leader in innovation, attracting further investments in research and development.