collaborators

5 papers

cs.AI2026

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…

eess.SY2026

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),…

cs.NI2025

Predictability of Performance in Communication Networks Under Markovian Dynamics

Samie Mostafavi, Simon Egger, György Dán +1

With the emergence of time-critical applications in modern communication networks, there is a growing demand for proactive network adaptation and quality of service (QoS) predictio…

cs.NI2025

Probabilistic Delay Forecasting in 5G Using Recurrent and Attention-Based Architectures

Samie Mostafavi, Gourav Prateek Sharma, Ahmad Traboulsi +1

With the emergence of new application areas such as cyber-physical systems and human-in-the-loop applications ensuring a specific level of end-to-end network latency with high reli…

cs.NI2025

A Proof of Concept Resource Management Scheme for Augmented Reality Applications in 5G Systems

Panagiotis Nikolaidis, Samie Mostafavi, James Gross +1

Augmented reality applications are bitrate intensive, delay-sensitive, and computationally demanding. To support them, mobile edge computing systems need to carefully manage both t…