Advanced Network Management and Control
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
Recent Publications
Our most recent peer reviewed publications
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Takato Yamazaki,Kohei Shimaoka,Kohei Ohno,Ulf Johannsen,Sonia Heemstra De Groot
Received Path Power Prediction for Millimeter-wave Using Machine Learning
(2022) -
Xiaotao Guo,Xuwei Xue,Fulong Yan,Bitao Pan,Georgios Exarchakos,Nicola Calabretta
DACON
Journal of Optical Communications and Networking (2022) -
Yu Zhao,Ignas G. Niemegeers,Sonia Heemstra de Groot
Deep Q-network based dynamic power allocation for cell-free massive MIMO
(2021) -
Xiaotao Guo,Xuwei Xue,Fulong Yan,Bitao Pan,Georgios Exarchakos,Nicola Calabretta
Experimental assessment of traffic prediction assisted data center network reconfiguration method
(2021) -
Xiaotao Guo,Fernando Agraz,Xuwei Xue,Bitao Pan,Albert Pages,Shaojuan Zhang,Georgios Exarchakos,Salvatore Spadaro,Nicola Calabretta
Experimental Demonstration of SDN-enabled Reconfigurable Disaggregated Data Center Infrastructure
(2021)
Contact
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Visiting address
FLux, floor 9Groene Loper 195612 AP EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Secretary