When verifying that a communications network fulfills its specified performance, it is critical to
note sudden shifts in network behavior as quickly as possible. Change point detection …

From a 5G operator's perspective, accurate estimates of key User Equipments (UEs)
performance metrics, especially One-Way Delay (OWD), can provide valuable information …

Network performance modeling using machine learning (ML) has proven to be essential for
proactive network and service management. Dynamic changes and re-configurations in the …

Future 6G networks are expected to be AI-native with distributed machine learning
functionalities responsible for improving and automating a variety of network-and service …

To effectively monitor a network and verify its performance, it is essential to quickly detect
sudden changes in its state, even when the form of such a change is initially unknown. While …

Predicting user performance at the base station in telecom networks is a critical task that can
significantly benefit from advanced machine learning techniques. However, labeled data for …

The fifth generation networks is rapidly becoming the new network standard and its new
technological capabilities are expected to enable a far wider variety of services compared to …

Transfer learning (TL) and domain adaptation (DA) are well-known approaches in the AI
literature that can be used to address the fundamental challenge of data scarcity. TL and DA …