Grant: Discovery Grants Program - Individual
University of Manitoba
$83,000.00
Toward Intelligent, Robust, and Secure Hyper-connectivity in Next-Generation Wireless Systems
EF 2024-25
Résumé
The 5G wireless communications technologies currently being developed will not fully support the emerging applications such as ultra-broadband rural/remote connectivity, holographic communications, autonomous driving, remote surgery, and precision agriculture. Therefore, research on Sixth-Generation (6G) wireless systems has already begun. The distinguishing features of 6G, which include high-frequency wireless communications, programmability of wireless channels, and machine learning-based designs, will require a holistic view for the design and development of related technologies. These will enable 6G (and beyond) to achieve extremely high data rates and reliability, minimize coverage holes and communication delay, and enhance security. 6G will advance technological breakthroughs and massive innovation that will touch almost every industry and area of our society, and it will significantly define Canada's economic landscape for 2030 and well beyond.
However, to achieve intelligent, context-based (or semantic-aware), robust, and secure communication and hyper-connectivity in 6G networks, several fundamental challenges must be overcome. For example, the network capacity has to be maximized by optimizing the available resources, high levels of network reliability and resilience have to be ensured to mitigate failures and disruptions and ensure uninterrupted connectivity, and the integrity, confidentiality and availability of the vast amounts of data transmitted over the network have to be safeguarded. The long-term objective of this research program is to make ground-breaking impact in the area of design, modeling, optimization, and control techniques for next-generation (e.g. 6G and beyond) wireless systems. This will be done by using innovative tools and insights from electromagnetics and circuit theory, wireless communications, signal processing and networking, artificial intelligence (AI)/machine learning (ML), optimization, control, game and decision theory.
To achieve the long-term objective, the following short-term objectives will be pursued: (i) Develop smart/intelligent radio communications and sensing techniques, for both terrestrial and integrated terrestrial-aerial-satellite networks, based on reconfigurable intelligent surface (RIS), (ii) Develop techniques for ultra-reliable, robust, and semantic-aware communication as well as hyperconnectivity based on flexible network architecture and AI/ML models, and (iii) Develop techniques for enhanced wireless system security by programming radio propagation and improving the resilience of wireless AI/ML models against adversarial attacks. In addition to novel theoretical contributions, the concepts and technologies resulting from the proposed research have the potential of making significant impact on the evolution of emerging technical standards. The research will prepare 21 highly qualified personnel with interdisciplinary knowledge to serve the needs of the IT industry in Canada.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2024-04948
Name nom
Hossain, Ekram
Department département
Electrical and Computer Engineering - Electrical and Computer Engineering
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
83000
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
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
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
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
Toward Intelligent, Robust, and Secure Hyper-connectivity in Next-Generation Wireless Systems
Keywords
sixth generation (6g) wireless communications; ultra-reliable and low-latency wireless communications; programmable radio environment; intelligent connectivity; joint communication, sensing, and control; wireless security; artificial intelligence (ai) and machine learning (ml); wireless network architecture and protocol; semantic communication; wireless communications for cyber physical systems
Application summary
The 5G wireless communications technologies currently being developed will not fully support the emerging applications such as ultra-broadband rural/remote connectivity, holographic communications, autonomous driving, remote surgery, and precision agriculture. Therefore, research on Sixth-Generation (6G) wireless systems has already begun. The distinguishing features of 6G, which include high-frequency wireless communications, programmability of wireless channels, and machine learning-based designs, will require a holistic view for the design and development of related technologies. These will enable 6G (and beyond) to achieve extremely high data rates and reliability, minimize coverage holes and communication delay, and enhance security. 6G will advance technological breakthroughs and massive innovation that will touch almost every industry and area of our society, and it will significantly define Canada's economic landscape for 2030 and well beyond.
However, to achieve intelligent, context-based (or semantic-aware), robust, and secure communication and hyper-connectivity in 6G networks, several fundamental challenges must be overcome. For example, the network capacity has to be maximized by optimizing the available resources, high levels of network reliability and resilience have to be ensured to mitigate failures and disruptions and ensure uninterrupted connectivity, and the integrity, confidentiality and availability of the vast amounts of data transmitted over the network have to be safeguarded. The long-term objective of this research program is to make ground-breaking impact in the area of design, modeling, optimization, and control techniques for next-generation (e.g. 6G and beyond) wireless systems. This will be done by using innovative tools and insights from electromagnetics and circuit theory, wireless communications, signal processing and networking, artificial intelligence (AI)/machine learning (ML), optimization, control, game and decision theory.
To achieve the long-term objective, the following short-term objectives will be pursued: (i) Develop smart/intelligent radio communications and sensing techniques, for both terrestrial and integrated terrestrial-aerial-satellite networks, based on reconfigurable intelligent surface (RIS), (ii) Develop techniques for ultra-reliable, robust, and semantic-aware communication as well as hyperconnectivity based on flexible network architecture and AI/ML models, and (iii) Develop techniques for enhanced wireless system security by programming radio propagation and improving the resilience of wireless AI/ML models against adversarial attacks. In addition to novel theoretical contributions, the concepts and technologies resulting from the proposed research have the potential of making significant impact on the evolution of emerging technical standards. The research will prepare 21 highly qualified personnel with interdisciplinary knowledge to serve the needs of the IT industry in Canada.