16 citations · 51 across the 10 of their papers we have counts for
5 papers · 1 filter
FADE: A Flow-Based Approach for Multichannel Tail Estimation
Parmida Valiahdi, Niloofar Mehrnia, Mustafa Furkan Beker +3
Ultra-Reliable Low-Latency Communication (URLLC) is vulnerable to rare low-received-power events, and the spatial-diversity benefits of multiple receivers can be significantly redu…
Physics-informed VAE-EVT for Tail Aware Radio Map Prediction
Amanda Sheron Gamage, Niloofar Mehrnia, James Gross
Ultra-reliable low-latency communication (URLLC) requires precise identification of spatial regions where the signal-to-noise ratio (SNR) falls below an outage threshold. In this c…
Delay Violation Probability Modeling for 5G Systems with HARQ Operation
Sangwon Seo, Vishnu N Moothedath, Niloofar Mehrnia +3
Meeting the growing demand for quality-of-service (QoS) guarantees in 5G networks requires an accurate characterization of delay performance, commonly captured by the delay violati…
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),…
EVT-Based Generative AI for Tail-Aware Channel Estimation
Parmida Valiahdi, Niloofar Mehrnia, Walid Saad +1
Ultra-reliable and low-latency communication (URLLC) will play a key role in fifth-generation (5G) and beyond networks, enabling mission-critical applications. Meeting the stringen…