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Grant: Discovery Grants Program - Individual

Toronto Metropolitan University

$64,000.00

Reconfigurable Intelligent Surface (RIS) Empowered Future Wireless Networks

FY 2022-23

Summary
The key drivers of next generation wireless system come from the technology-driven paradigm shift and the continuous evolution of the existing wireless networks, along with bandwidth-hungry and ultra-low latency applications such as immersive virtual reality, connected robotics and autonomous systems. These applications pose new challenges to the requirements of data speed, computing, connectivity, and energy-spectral efficiency. Reconfigurable intelligent surfaces (RIS) is a new wireless communication paradigm and is considered a promising enabler to support such applications. RIS when integrated with key technologies such as massive IoT, enhanced small cells with edge intelligence and computing, data-driven intelligent network control, integrated aerial-terrestrial network, and THz backhauling has huge potential to realize high performance wireless information societal networks. It opens up a plethora of opportunities in wireless system engineering, design and optimization. Existing studies on the RIS technology are still primitive in many areas. We will tackle many challenges in resource allocation, transmission and massive access problems when integrating edge computing, aerial communication and IoT with IRS, using powerful tools from wireless communication, queuing models, optimization, decision theory and machine learning. The proposed research program therefore seeks to focus on the design and development of advanced and practical technologies for RIS-aided wireless communication in tightly coupled heterogeneous networks utilising optimization-based transmission and multiple access techniques, and learning-based data-driven decisions in network control and management. In particular, we will: (i) Develop a computing framework using distributed edge intelligence in dense networks with RIS for low-latency applications; (ii) Design scalable symbiotic radio network to efficiently utilize resources and provide massive access for IoT devices; (iii) Develop ubiquitous high-capacity communication in RIS-integrated aerial-terrestrial networks by exploiting advanced transmission and access technologies, and (iv) Develop proactive schemes for RIS systems to be self-sustaining in energy, and self-organizing in configurations and management. This will improve wireless network capacity and coverage, and provide robust quality of service and reliable connectivity in the next generation wireless systems. Novel theoretical contributions and innovative technologies resulting from the proposed research will have significant impact on the evolution of RIS-aided communication. Invention of new techniques and technologies from this research program will foster vital competitive edge to strategic Canadian ICT industry, and bring significant scientific, economic and social benefits to Canada.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2022-03820
Name nom
Anpalagan, Alagan
Department département
Electrical, Computer and Biomedical Engineering - Electrical, Computer and Biomedical Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
64000
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
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
805
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communications technologies (satellites, radar, etc.)
Area of application fr
Technologie des télécommunications (satellites, radar,etc.)
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Installment
inst:1
Partie
1
Nb partie
5
Application title
Reconfigurable Intelligent Surface (RIS) Empowered Future Wireless Networks
Application summary
The key drivers of next generation wireless system come from the technology-driven paradigm shift and the continuous evolution of the existing wireless networks, along with bandwidth-hungry and ultra-low latency applications such as immersive virtual reality, connected robotics and autonomous systems. These applications pose new challenges to the requirements of data speed, computing, connectivity, and energy-spectral efficiency. Reconfigurable intelligent surfaces (RIS) is a new wireless communication paradigm and is considered a promising enabler to support such applications. RIS when integrated with key technologies such as massive IoT, enhanced small cells with edge intelligence and computing, data-driven intelligent network control, integrated aerial-terrestrial network, and THz backhauling has huge potential to realize high performance wireless information societal networks. It opens up a plethora of opportunities in wireless system engineering, design and optimization. Existing studies on the RIS technology are still primitive in many areas. We will tackle many challenges in resource allocation, transmission and massive access problems when integrating edge computing, aerial communication and IoT with IRS, using powerful tools from wireless communication, queuing models, optimization, decision theory and machine learning. The proposed research program therefore seeks to focus on the design and development of advanced and practical technologies for RIS-aided wireless communication in tightly coupled heterogeneous networks utilising optimization-based transmission and multiple access techniques, and learning-based data-driven decisions in network control and management. In particular, we will: (i) Develop a computing framework using distributed edge intelligence in dense networks with RIS for low-latency applications; (ii) Design scalable symbiotic radio network to efficiently utilize resources and provide massive access for IoT devices; (iii) Develop ubiquitous high-capacity communication in RIS-integrated aerial-terrestrial networks by exploiting advanced transmission and access technologies, and (iv) Develop proactive schemes for RIS systems to be self-sustaining in energy, and self-organizing in configurations and management. This will improve wireless network capacity and coverage, and provide robust quality of service and reliable connectivity in the next generation wireless systems. Novel theoretical contributions and innovative technologies resulting from the proposed research will have significant impact on the evolution of RIS-aided communication. Invention of new techniques and technologies from this research program will foster vital competitive edge to strategic Canadian ICT industry, and bring significant scientific, economic and social benefits to Canada.