Create the control intelligence which autonomously manages the network’s physical layer.
This gives the user access to services at the appropriate quali¬ty-of-experience level and improves the network’s dependability. We study the impact of emerging ap¬plications on the network and the effects that net¬work impairments have on services. Our main focus is on cognitive Internet of Things communications.
Meet some of our Researchers
Our most recent peer reviewed publications
TDOA-based localization via stochastic gradient descent variants88th IEEE Vehicular Technology Conference, VTC-Fall 2018 (2019)
Enhanced C-V2X mode-4 subchannel selection88th IEEE Vehicular Technology Conference, VTC-Fall 2018 (2019)
Interference graphs to monitor and control schedules in low-power WPANFuture Generation Computer Systems (2019)
Network-assisted resource allocation with quality and conflict constraints for V2V communications87th Vehicular Technology Conference (VTC 2018-Spring)<br/> (2018)
Coexistence of decentralized congestion control algorithms for V2V communication87th IEEE Vehicular Technology Conference, VTC Spring 2018 (2018)