Machine Learning for Network Control and Digital Network Twinning

DSpace Repository


Dokumentart: ConferencePaper
Date: 2022-04-07
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Informatik
DDC Classifikation: 004 - Data processing and computer science
Show full item record


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.

This item appears in the following Collection(s)