124 citations · 360 across the 33 of their papers we have counts for
43 papers
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…
Performance of 802.11be Wi-Fi 7 with Multi-Link Operation on AR Applications
Molham Alsakati, Charlie Pettersson, Sebastian Max +2
Since its first release in the late 1990s, Wi-Fi has been updated to keep up with evolving user needs. Recently, Wi-Fi and other radio access technologies have been pushed to their…
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge
Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross
We consider a resource-constrained Edge Device (ED), such as an IoT sensor or a microcontroller unit, embedded with a small-size ML model (S-ML) for a generic classification applic…
Ainur: A Framework for Repeatable End-to-End Wireless Edge Computing Testbed Research
Manuel Olguín Muñoz, Seyed Samie Mostafavi, Vishnu N. Moothedath +1
Experimental research on wireless networking in combination with edge and cloud computing has been the subject of explosive interest in the last decade. This development has been d…
Energy Efficient Sampling Policies for Edge Computing Feedback Systems
Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross
We study the problem of finding efficient sampling policies in an edge-based feedback system, where sensor samples are offloaded to a back-end server that processes them and genera…