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Joint Communication and Sensing Using Intelligent Retro-reflective Surfaces
This project explores a new approach to indoor localization using retroreflective Reconfigurable Intelligent Surfaces (RIS). Unlike conventional RIS that actively steer signals, retroreflective RIS naturally send radio waves back toward their source while still allowing programmable control. This creates stable and energy-efficient signal paths that can significantly improve positioning accuracy in cluttered or dynamic environments.
The project develops models and algorithms to understand how these surfaces can be used for remote localization and angle of incidence estimation. The goal is to enable low-cost, scalable, and reliable localization solutions for future wireless networks.
Faculty Supervisor:
Amine Mezghani
Student:
Partner:
Higher National Engineering School of Tunis
Discipline:
Engineering
Sector:
Information and Communications Technology
University:
University of Manitoba
Program:
Globalink Research Award
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.