4 papers
Domain Adaptation Under Wireless Network Constraints: When Does It Become Green?
Illyyne Saffar, Aurélie Boisbunon, Shruti Bothe
The deployment of data-driven models in 6G wireless networks is increasingly challenged by frequent distribution shifts that degrade performance over time. Unsupervised Domain Adap…
Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
Hanzhi Yu, Hasan Farooq, Julien Forgeat +4
In this paper, we investigate a novel digital network twin (DNT) assisted deep learning (DL) model training framework. In particular, we consider a physical network where a base st…
Through the telecom lens: Are all training samples important?
Shruti Bothe, Illyyne Saffar, Aurelie Boisbunon +3
The rise of AI in telecommunications, from optimizing Radio Access Networks to managing user experience, has sharply increased data volumes and training demands. Telecom data is of…
Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
Selim Ickin, Shruti Bothe, Aman Raparia +2
Optimization of radio hardware and AI-based network management software yield significant energy savings in radio access networks. The execution of underlying Machine Learning (ML)…