7 citations · 7 across the 8 of their papers we have counts for
8 papers
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),…
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…
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…
EDAF: An End-to-End Delay Analytics Framework for 5G-and-Beyond Networks
Samie Mostafavi, Marius Tillner, Gourav Prateek Sharma +1
Supporting applications in emerging domains like cyber-physical systems and human-in-the-loop scenarios typically requires adherence to strict end-to-end delay guarantees. Contribu…
Active Queue Management with Data-Driven Delay Violation Probability Predictors
Samie Mostafavi, Neelabhro Roy, György Dán +1
The increasing demand for latency-sensitive applications has necessitated the development of sophisticated algorithms that efficiently manage packets with end-to-end delay targets…
ExPECA: An Experimental Platform for Trustworthy Edge Computing Applications
Samie Mostafavi, Vishnu Narayanan Moothedath, Stefan Rönngren +5
This paper presents ExPECA, an edge computing and wireless communication research testbed designed to tackle two pressing challenges: comprehensive end-to-end experimentation and h…
Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities
Samie Mostafavi, Gourav Prateek Sharma, James Gross
With the emergence of new application areas, such as cyber-physical systems and human-in-the-loop applications, there is a need to guarantee a certain level of end-to-end network l…
Semantically Optimized End-to-End Learning for Positional Telemetry in Vehicular Scenarios
Neelabhro Roy, Samie Mostafavi, James Gross
End-to-end learning for wireless communications has recently attracted much interest in the community, owing to the emergence of deep learning-based architectures for the physical…