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Hub for Good

The Ericsson-Carleton University Partnership for Research and Leadership in Wireless Networks is a collaborative effort that will conduct cutting-edge research to build more reliable, secure technology for the future of 5G wireless communications. The support of Ericsson will enable Carleton researchers and Ericsson employees to work together on a range of projects. The research will take place over a couple of phases, with studies in a variety of areas that will be important for the development of 5G networks such as machine learning, drone navigation and channel optimization.

Phase 1 Research projects

The aim of this research is to investigate effective data-driven ML techniques for 5G networks. 

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This project will investigate cooperative algorithms, leveraging Beyond Visual Line of Sight (BVLOS) drone communications using 5G networks

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The goal in this project is to perform research for and provide solutions to navigation and control of drones over 5G networks.

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In this project, we propose developing a simulation tool to reconstruct temporal-spatial channels based on limited CSI feedback that has been collected from User Equipments (UEs) communicating over real networks. 

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In this project we will evaluate the feasibility of applying Distributed Machine Learning combining edge computing technology to conduct channel estimation in 5G massive MIMO. 

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In this project, we will investigate the use of Machine Learning and Deep Learning for spectrum sharing applications in 5G systems.

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This project will combine a theoretically driven approach alongside analysis of field collected uplink sounding reference signal data (SRS) transmitted by several user terminals (UEs).

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Ericsson-Carleton 5G | 5G Research Projects | Ericsson Fellowships | 5G Learning | 5G Lab

Carleton University
Human Computer Interaction Building
1125 Colonel By Drive
Ottawa, ON, K1S 5B6
Canada
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hubforgood@carleton.ca