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Grant: Discovery Grants Program - Individual

Ryerson University

$41,000.00

Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization

FY 2017-18

Summary
Mobile internet traffic is projected to increase thousand-fold within a decade generating much higher data volume per area in wireless landscape. In addition, users demand better quality of experience, lower delay, higher energy efficiency and improved coverage. These pose significant challenges on the next generation (5G) wireless communication system design, including network structure, air interface, duplexing schemes, multiple access and resource management. Radio resource management (RRM) in such advanced heterogeneous wireless networks is complex due to resource constraints, service requirements, multiple players (applications, networks, technologies) and autonomous/distributed mode of operations. With the challenges, higher degrees of freedom and many use cases come opportunity to innovate novel RRM paradigm for the emerging wireless communication system. The proposed research work therefore seeks to design and develop advanced and practical RRM techniques for heterogeneous wireless networks with enhanced small cells and, rich and diverse machine-to-machine (M2M) traffic in emerging 5G systems. This will improve the capacity and coverage of the next generation wireless systems and offer robust quality of service provisioning with power and spectral efficiency. In particular, the following will be designed, analyzed and optimized: dynamic spectrum allocation and sharing in licensed shared access mode, joint access control and resource allocation for concurrent and massive access of M2M devices, interference management and scheduling in multicarrier full-duplex systems in enhanced small cells, time-frequency block allocation and optimization in dense small cells, and resource allocation in cooperative cognitive small cells. This research program will help Canadas information and communication technology industry to lead, and in particular benefit wireless service providers and vendors to support better and diverse high quality service and product offerings for customers while increasing system capacity and coverage. Also, the contribution will be evidently useful in some applications in areas such as smart city, sensor networking and intelligent transportation systems in addition to high speed data communication within the integrated heterogeneous wireless networks.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2016-04049
Name nom
Anpalagan, Alagan
Department département
Electrical and Computer Engineering - Electrical and Computer Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
41000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2525
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Wireless communication systems
Research subject fr
Systèmes de télécommunications sans fil
Partie
2
Nb partie
5
Application title
Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization
Keyword
NSERC
Application summary
Mobile internet traffic is projected to increase thousand-fold within a decade generating much higher data volume per area in wireless landscape. In addition, users demand better quality of experience, lower delay, higher energy efficiency and improved coverage. These pose significant challenges on the next generation (5G) wireless communication system design, including network structure, air interface, duplexing schemes, multiple access and resource management. Radio resource management (RRM) in such advanced heterogeneous wireless networks is complex due to resource constraints, service requirements, multiple players (applications, networks, technologies) and autonomous/distributed mode of operations. With the challenges, higher degrees of freedom and many use cases come opportunity to innovate novel RRM paradigm for the emerging wireless communication system. The proposed research work therefore seeks to design and develop advanced and practical RRM techniques for heterogeneous wireless networks with enhanced small cells and, rich and diverse machine-to-machine (M2M) traffic in emerging 5G systems. This will improve the capacity and coverage of the next generation wireless systems and offer robust quality of service provisioning with power and spectral efficiency. In particular, the following will be designed, analyzed and optimized: dynamic spectrum allocation and sharing in licensed shared access mode, joint access control and resource allocation for concurrent and massive access of M2M devices, interference management and scheduling in multicarrier full-duplex systems in enhanced small cells, time-frequency block allocation and optimization in dense small cells, and resource allocation in cooperative cognitive small cells. This research program will help Canadas information and communication technology industry to lead, and in particular benefit wireless service providers and vendors to support better and diverse high quality service and product offerings for customers while increasing system capacity and coverage. Also, the contribution will be evidently useful in some applications in areas such as smart city, sensor networking and intelligent transportation systems in addition to high speed data communication within the integrated heterogeneous wireless networks.