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LR-FHSS-base network size estimation for dts-iot
The project’s goal is to find out if the network size estimator L-OCI, designed for direct-to satellite Internet of Things LoRa based scenarios, can be extended and/or adapted to work based on LR-FHSS. We want to see if they can handle many devices, and whether this combination is good or bad for a specific problem. If it works well, it can help connect more areas and resources. The benefit for the participating institutions is that they will learn how to use L-OCI and LR-FHSS together, which can be very helpful for future research in direct-to satellite Internet of Things.
Faculty Supervisor:
Sandra Cespedes
Student:
Partner:
INRIA
Discipline:
Engineering
Sector:
Aerospace; Information and Communications Technology
University:
Concordia University
Program:
Globalink Research Award
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