RoME-QCD: Robust and Measurement Efficient Quickest Change Detection in 5G Networks
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 …
sudden changes in its state, even when the form of such a change is initially unknown. While …
On Multi-Objective Neural Architecture Search for Modeling Network Performance
The future 6G network is envisioned to be AI-native, and as such, ML models will be
pervasive in support of optimizing performance, reducing energy consumption, and co** …
pervasive in support of optimizing performance, reducing energy consumption, and co** …
Self-supervised Pretraining for User Performance Prediction under Scarce Data Conditions
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 …
significantly benefit from advanced machine learning techniques. However, labeled data for …
[HTML][HTML] Transfer Learning and Domain Adaptation in Telecommunications
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 …
literature that can be used to address the fundamental challenge of data scarcity. TL and DA …