16 citations · 51 across the 10 of their papers we have counts for
11 papers
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…
Incorporation of Confidence Interval into Rate Selection Based on the Extreme Value Theory for Ultra-Reliable Communications
Niloofar Mehrnia, Sinem Coleri
Proper determination of the transmission rate in ultra-reliable low latency communication (URLLC) needs to incorporate a confidence interval (CI) for the estimated parameters due t…
Extreme Value Theory Based Rate Selection for Ultra-Reliable Communications
Niloofar Mehrnia, Sinem Coleri
Ultra-reliable low latency communication (URLLC) requires the packet error rate to be on the order of -. Determining the appropriate transmission rate to satisfy…
Multivariate Extreme Value Theory Based Channel Modeling for Ultra-Reliable Communications
Niloofar Mehrnia, Sinem Coleri
Attaining ultra-reliable communication (URC) in fifth-generation (5G) and beyond networks requires deriving statistics of channel in ultra-reliable region by modeling the extreme e…
Multivariate Extreme Value Theory Based Rate Selection for Ultra-Reliable Communications
Niloofar Mehrnia, Sinem Coleri
Diversity schemes play a vital role in improving the performance of ultra-reliable communication systems by transmitting over two or more communication channels to combat fading an…
Non-Stationary Wireless Channel Modeling Approach Based on Extreme Value Theory for Ultra-Reliable Communications
Niloofar Mehrnia, Sinem Coleri
A proper channel modeling methodology that characterizes the statistics of extreme events is key in the design of a system at an ultra-reliable regime of operation. The strict cons…
Wireless Channel Modeling Based on Extreme Value Theory for Ultra-Reliable Communications
Niloofar Mehrnia, Sinem Coleri
A key building block in the design of ultra-reliable communication systems is a wireless channel model that captures the statistics of rare events occurring due to significant fadi…