26 papers
Advancing Network Digital Twin Framework for Generating Realistic Datasets
Oscar Stenhammar, Sundeep Rangan, Gábor Fodor +1
The integration of accurate and reproducible wireless network simulations is a key enabler for research on open, virtualized, and intelligent communication systems. Network Digital…
AI-Based KPI Prediction Methods in Future 6G Networks: A Survey
Niloofar Mehrnia, Gourav Prateek Sharma, Samie Mostafavi +4
The evolution from 5G to 5G-Advanced and the vision of 6G demand unprecedented levels of network performance, in which meeting stringent network Key Performance Indicators (KPIs),…
SumComp: Coding for Digital Over-the-Air Computation via the Ring of Integers
Saeed Razavikia, José Mairton Barros Da Silva Júnior, Carlo Fischione
Communication and computation are traditionally treated as separate entities, allowing for individual optimizations. However, many applications focus on local information's functio…
Reliable Narrowband Interference Detection via Backward Conformal Prediction
Xin Su, Meiyi Zhu, Osvaldo Simeone +2
Narrowband interference can severely degrade the performance of WiFi links by concentrating significant power on a small portion of the channel. Machine learning (ML) detectors tra…
Joint Clustering and Prediction of the Quality of Service in Vehicular Cellular Networks
Oscar Stenhammar, Gábor Fodor, Carlo Fischione
Machine learning models are increasingly deployed in wireless networks with stringent performance requirements. However, dynamic propagation environments and fluctuating traffic de…
Optimal QAM Constellation for Over-the-Air Computation in the Presence of Heavy-Tailed Channel Noise
Saeed Razavikia, Deniz Gündüz, Carlo Fischione
Over-the-air computation (OAC) enables low-latency aggregation over multiple-access channels (MACs) by exploiting the superposition property of the wireless medium to compute funct…