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
Received Path Power Prediction for Millimeter-wave Using Machine Learning2022 IEEE International Conference on Consumer Electronics, ICCE 2022 (2022)
DACONJournal of Optical Communications and Networking (2022)
Deep Q-network based dynamic power allocation for cell-free massive MIMO26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 (2021)
Experimental Demonstration of SDN-enabled Reconfigurable Disaggregated Data Center Infrastructure47th European Conference on Optical Communications, ECOC 2021 (2021)
Experimental assessment of traffic prediction assisted data center network reconfiguration method47th European Conference on Optical Communications, ECOC 2021 (2021)