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Grant: Collaborative Research and Development Grants

University of Waterloo

$192,320.00

Proactive User-Centric Networking for Next Generation Wireless Communications

EF 2019-20

Résumé
The next-generation communication systems are envisioned to revolutionize throughout every aspect of human society by providing anywhere and anytime connectivity to not only mobile communication users, but also almost all physical things. New network architecture, operation, and optimization solutions based on artificial intelligence (AI) technologies represent a worldwide mobile network evolution paradigm, to support the exponential growth of wireless data traffic and new wireless use cases and services. In this project, we will investigate and develop cost-effective network deployment strategies, adaptive network protocols, and proactive resource management mechanisms for next-generation wireless communication systems, leveraging advanced tools in machine learning and big data informatics. The research aims at engineering solutions for flexible deployment of wireless network resources, adaptive to the predicted data traffic and service demands, and for facilitating network self-learning, self-diagnosing, and self-healing, to make the network more responsive and less erroneous, while reducing human involvement in the network management. The realization of network intelligence will be an essential step for developing more efficient, scalable, fully programmable, and automated wireless networks, to achieve agile customized services at low cost. The global market for AI in telecommunication will propel vigorously at a compound annual growth rate of over forty percent. As a result, the race towards developing innovative AI-based next-generation wireless communication systems will undoubtedly be undertaken by research groups worldwide. This project will generate new ideas and techniques that will provide significant benefits to Canadian users, and will foster a vital competitive edge to Canadian ICT industries in the international market place. Five PhD students and five postdoctoral fellows, together with nine co-op students, will participate in the project to develop the latest innovations in wireless communication systems, emerging as expert additions to the Canadian high technology industry labor force.
Programme
Collaborative Research and Development Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
538476-2018
Name nom
Shen, Xuemin
Department département
Electrical & Computer Engineering
Organization id
33
Institution établissement
University of Waterloo
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
192320
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
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
802
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 systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
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:1 - 1
Partie
1
Nb partie
1
Application title
Proactive User-Centric Networking for Next Generation Wireless Communications
Keyword
NSERC
Application summary
The next-generation communication systems are envisioned to revolutionize throughout every aspect of human society by providing anywhere and anytime connectivity to not only mobile communication users, but also almost all physical things. New network architecture, operation, and optimization solutions based on artificial intelligence (AI) technologies represent a worldwide mobile network evolution paradigm, to support the exponential growth of wireless data traffic and new wireless use cases and services. In this project, we will investigate and develop cost-effective network deployment strategies, adaptive network protocols, and proactive resource management mechanisms for next-generation wireless communication systems, leveraging advanced tools in machine learning and big data informatics. The research aims at engineering solutions for flexible deployment of wireless network resources, adaptive to the predicted data traffic and service demands, and for facilitating network self-learning, self-diagnosing, and self-healing, to make the network more responsive and less erroneous, while reducing human involvement in the network management. The realization of network intelligence will be an essential step for developing more efficient, scalable, fully programmable, and automated wireless networks, to achieve agile customized services at low cost. The global market for AI in telecommunication will propel vigorously at a compound annual growth rate of over forty percent. As a result, the race towards developing innovative AI-based next-generation wireless communication systems will undoubtedly be undertaken by research groups worldwide. This project will generate new ideas and techniques that will provide significant benefits to Canadian users, and will foster a vital competitive edge to Canadian ICT industries in the international market place. Five PhD students and five postdoctoral fellows, together with nine co-op students, will participate in the project to develop the latest innovations in wireless communication systems, emerging as expert additions to the Canadian high technology industry labor force.