Phase II Research Projects
Midband Channel Propagation Study
The focus of this project is to combine a theoretically driven approach alongside analysis of field-collected uplink sounding reference signal data (SRS) transmitted by several user terminals (UEs) to reconstruct channel conditions and enhance channel simulators based on these real-time measurements
Team leads
Ioannis Lambadaris
- Chancellor’s Professor and Ericsson Chair in 5G Wireless Research, Carleton University
- ioannis@sce.carleton.ca
- 613-520-2600 ext 1974
5G-TSN for Industry 4.0
The fourth Industrial Revolution, Industry 4.0, promises to create completely flexible production lines with automated, guided mobile robots. To enable this transformation, this project will work on guaranteed data delivery with extremely low data loss.
Team leads
Marc St-Hilaire
- Professor, Carleton School of Information Technology
- marc_st_hilaire@carleton.ca
- 613-520-2600 ext 1844
AI-Powered Traffic Flow Characterization, Monitoring and Prediction
The objective of this project is to develop solutions to monitor network traffic and to detect and predict traffic patterns to empower network service providers.
Team leads
Omair Shafiq
- Assistant Professor, IRM Coordinator, School of Information Technology
- OmairShafiq@cunet.carleton.ca
- 6135202600 ext 6038
Minimization of Switching Power Converter Ripples in RF Power Amplifier Circuits
This project will introduce new and innovative research into circuit theory leading to the minimization of ripples and noise in voltage and current.
Team leads
Leveraging Machine Learning to Improve Code Quality
This project aims at employing machine learning techniques to monitor and improve software quality
Team leads
Dynamic Network Re-dimensioning via Accurate Prediction of 5G Throughput and Reinforcement Learning
This project will focus on how to accurately model and predict throughput of 5G networks in order to better manage resources in order to adapt to changes in patterns of usage.
Team Leads
Co-Op Project: Knowledge Graph
The project involves constructing a Knowledge Graph from diverse data sources, with applications like a Semantic Search Engine and Summarization tools to enhance information access and insights.