| dc.contributor.author |
Krämer, Patrick |
|
| dc.contributor.author |
Blenk, Andreas |
|
| dc.date.accessioned |
2022-04-08T07:49:47Z |
|
| dc.date.available |
2022-04-08T07:49:47Z |
|
| dc.date.issued |
2022-04-07 |
|
| dc.identifier.uri |
http://hdl.handle.net/10900/126088 |
|
| dc.identifier.uri |
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1260883 |
de_DE |
| dc.identifier.uri |
http://dx.doi.org/10.15496/publikation-67451 |
|
| dc.description.abstract |
This paper summarizes the most important work conducted in the field of machine learning and artificial intelligence applied to communication networks from the Chair of Communication Networks (LKN), Technical University of Munich. Furthermore, it gives an overview of current ongoing work and research projects, which target the vision of digital network twinning for autonomous network control. |
en |
| dc.language.iso |
en |
de_DE |
| dc.publisher |
Universität Tübingen |
de_DE |
| dc.subject.ddc |
004 |
de_DE |
| dc.title |
Machine Learning for Network Control and Digital Network Twinning |
en |
| dc.type |
ConferencePaper |
de_DE |
| utue.publikation.fachbereich |
Informatik |
de_DE |
| utue.publikation.fakultaet |
7 Mathematisch-Naturwissenschaftliche Fakultät |
de_DE |
| utue.opus.portal |
kuvs-nets3 |
de_DE |
| utue.publikation.noppn |
yes |
de_DE |
