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
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to c...
The control of communication networks is an important aspect from both the service provider and user...
The past few years have witnessed a wide deployment of software defined networks facilitating a separ...
Networks are complex interacting systems involving cloud operations, core and metro transport, and m...
51 pagesThe application of machine learning (ML) to mitigate network-related problems continues to p...
The growing network density and unprecedented increase in network traffic, caused by the massively e...
International audienceNowadays, Machine Learning (ML) tools are commonly used in every area of scien...
With machine learning and especially deep learning rising to prevalence in many domains such as comp...
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve p...
Interference has always been the main threat to the performance of traditional WiFi networks and nex...
Machine learning techniques can be applied to develop signalized junction control algorithms that ca...
International audienceDuring the last decade, Machine Learning (ML) has increasingly become a hot to...
This white paper on AI/ML as enablers of 5G and B5G networks is based on contributions from 5G PPP p...
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to c...
The control of communication networks is an important aspect from both the service provider and user...
The past few years have witnessed a wide deployment of software defined networks facilitating a separ...
Networks are complex interacting systems involving cloud operations, core and metro transport, and m...
51 pagesThe application of machine learning (ML) to mitigate network-related problems continues to p...
The growing network density and unprecedented increase in network traffic, caused by the massively e...
International audienceNowadays, Machine Learning (ML) tools are commonly used in every area of scien...
With machine learning and especially deep learning rising to prevalence in many domains such as comp...
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve p...
Interference has always been the main threat to the performance of traditional WiFi networks and nex...
Machine learning techniques can be applied to develop signalized junction control algorithms that ca...
International audienceDuring the last decade, Machine Learning (ML) has increasingly become a hot to...
This white paper on AI/ML as enablers of 5G and B5G networks is based on contributions from 5G PPP p...
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to c...
The control of communication networks is an important aspect from both the service provider and user...
The past few years have witnessed a wide deployment of software defined networks facilitating a separ...