Grant: Alliance Grants
École de technologie supérieure
$189,124.00
Toward Distributed Machine Learning-Empowered Terrestrial and Non-Terrestrial Tactical Networks
FY 2023-24
Summary
Natural disasters have caused massive life losses, structural damages, and power and communications outages in Canada. Meanwhile, tactical wireless networks (TWNs) are built to be self-organized and do not require a fixed infrastructure for their operation. In addition, TWNs play vital roles in saving lives in public safety, disaster recovery, and military applications, and it has stringent requirements in terms of security, reliability, and latency. On the other hand, terrestrial and non-terrestrial networks that combine terrestrial, aerial, and satellite platforms are envisioned to be implemented for the sixth-generation mobile system standard (6G). In response to the rapid development of 6G technologies, such as artificial intelligence/machine learning (AI/ML), reconfigurable intelligent surfaces (RISs), terahertz (THz) communication, and distributed multi-access edge computing (MEC), the necessity to integrate them to TWNs is urgent considering the extreme conditions caused by climate change. This research project aims to design a terrestrial and non-terrestrial tactical network (TNTN) for both civil and military applications. The research project will focus on three main aspects: (1) The design of TNTN network architecture and protocols design, (2) Integrate AI/ML, RISs, THz, and MEC technologies to TNTNs to enhance their performance in terms of data rates, end-to-end delay, and resiliency against attacks, and (3) Design secure waveforms to guarantee low probability of intercept/detection. Our industrial partner, Ultra is at the forefront of international manufacturing of mission-critical communications and networking. The developed architecture will put Ultra ahead of its worldwide competitors and directly improve their research and development, as well as their production revenue. Regarding benefits to Canada, this project will foster innovation and economic growth and consolidate the stature of Canada as a leader in AI and wireless networks fields. These fields are critical in tomorrow's digital economy and paramount to maintaining the Canadian Forces' operational capabilities.
Program
Alliance Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
580441-2022
Name nom
Kaddoum, Georges GK
Department département
Génie électrique
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
189124
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
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
800
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 and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2508
Research subject group en
Electrical and electronic engineering
Research subject group fr
Communications networks
Research subject en
Génie électrique et électronique
Research subject fr
Réseaux de télécommunications
Application title
Toward Distributed Machine Learning-Empowered Terrestrial and Non-Terrestrial Tactical Networks
Keyword
Intelligent Networks; Tactical Communications; Tactical Networks; Terrestrial Networks; Wireless Communications; Wireless Networks
Application summary
Natural disasters have caused massive life losses, structural damages, and power and communications outages in Canada. Meanwhile, tactical wireless networks (TWNs) are built to be self-organized and do not require a fixed infrastructure for their operation. In addition, TWNs play vital roles in saving lives in public safety, disaster recovery, and military applications, and it has stringent requirements in terms of security, reliability, and latency. On the other hand, terrestrial and non-terrestrial networks that combine terrestrial, aerial, and satellite platforms are envisioned to be implemented for the sixth-generation mobile system standard (6G). In response to the rapid development of 6G technologies, such as artificial intelligence/machine learning (AI/ML), reconfigurable intelligent surfaces (RISs), terahertz (THz) communication, and distributed multi-access edge computing (MEC), the necessity to integrate them to TWNs is urgent considering the extreme conditions caused by climate change. This research project aims to design a terrestrial and non-terrestrial tactical network (TNTN) for both civil and military applications. The research project will focus on three main aspects: (1) The design of TNTN network architecture and protocols design, (2) Integrate AI/ML, RISs, THz, and MEC technologies to TNTNs to enhance their performance in terms of data rates, end-to-end delay, and resiliency against attacks, and (3) Design secure waveforms to guarantee low probability of intercept/detection. Our industrial partner, Ultra is at the forefront of international manufacturing of mission-critical communications and networking. The developed architecture will put Ultra ahead of its worldwide competitors and directly improve their research and development, as well as their production revenue. Regarding benefits to Canada, this project will foster innovation and economic growth and consolidate the stature of Canada as a leader in AI and wireless networks fields. These fields are critical in tomorrow's digital economy and paramount to maintaining the Canadian Forces' operational capabilities.
