IaC cloud testbed for secure ML based management of IoT services

The use of Machine Learning in many control and management processes is rising fast. This is especially true for the management of cloud native applications and for anomaly detection in cyber-security mechanisms. However, it has been shown that ML is an attack surface on its own, especially when the attack is performed by another ML system....

Application-level performance of cross-layer scheduling for social VR in 5G

Social VR aims at enabling people located at different places to communicate and interact with each other in a natural way. It poses extremely strong throughput and latency requirements on the underlying communication networks. This paper investigates the potential of using cross-layer design approaches for radio access scheduling in order to...

Demonstrating fluid connectivity for Computing Anywhere with 6G Cloud Networks

Anticipating a highly customized and flexible virtual service portfolio of 6G networks, unprecedented complexity will challenge network manageability if left to human operators. Automation and autonomy are key enablers of next generation cloud networks. With this in mind, we present a demonstrator of ML-assisted user plane resource management...

Machine learning-based slice management in 5G networks for emergency scenarios

Dynamic Edge Offloading for Real-time Video Processing Pipelines

Status report of 3GPP SA2 of Q1/2017

This report presents the April 2017 status of 3GPP TSG SA Working Group 2 (SA2), the standardisation group that focuses on architecture aspects of mobile networks. This report is a living document and is updated four times per year. SA2 focuses on the development of the network architecture. This includes the assignment of functions to...