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
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)
Impact of quantized side information on subchannel scheduling for cellular V2X87th IEEE Vehicular Technology Conference, VTC Spring 2018 (2018)
SAE-DCC evaluation and comparison with message rate and data rate based congestion control algorithms of V2X communication87th IEEE Vehicular Technology Conference, VTC Spring 2018 (2018)