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
-
The need to extend CBL courses over longer periods - a test case on a CBL course on IoT
(2023) -
Received Path Power Prediction for Millimeter-wave Using Machine Learning
(2022) -
DACON
Journal of Optical Communications and Networking (2022) -
Deep Q-network based dynamic power allocation for cell-free massive MIMO
(2021) -
Experimental assessment of traffic prediction assisted data center network reconfiguration method
(2021)
Contact
-
Visiting address
bc. Twan RubbenFLux, floor 9Groene Loper 195612 AP EindhovenNetherlandskijkindevegte.giovanni@ vanbolesrijnbende.nl -
Visiting address
Merijn JacobsRoos MeijerSirebaan7311AL Zuid-BeijerlandNetherlandsannemijn.groote@ vandenbosch.com -
Postal address
drs Hugo El Idrissi BAP.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlandsdewi63@ vanderhorst.nl -
Postal address
Vajèn van der VenYusuf de VosErnstbaan8061BA UgchelenNetherlandskilic.mick@ yahoo.nl -
SecretaryLuuk ÖztürkPetersepad7314BK Well Lsecretariaat.ECO@ tue.nl