Reliability (SOAR), a task-oriented multi-user MIMO framework for wireless edge computing executing vision tasks, e.g. object detection and image classification. SOAR pipeline uses distributional deep reinforcement learning (DDRL) agents with a multi-branched context-aware neural network.
This repository provides the full implementation and experimental setup to replicate the results presented in our paper:
The code includes:
- DRL: A Deep Reinforcement Learning (DRL) environment tailored for MU-MIMO task offloading and trainig script.
- Data Transmission: Scripts to run and log experimental evaluations.
- System Packages & Experiments: Configurations and setup instructions to reproduce all experiments and metrics from the paper.
- Test Corruption: Computer vision task corruption test.
If you find our work useful, please cite us:
L.G. Contreras, S., Haque, KF., Levorato, M., & Restuccia, F.
SOAR: Semantic MU-MIMO Communications for Reliable Offloading of Computer Vision Tasks.
IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IOT), IEEE, 2025. In press.
Cite us:
@inproceedings{contreras2025soar,
author = {L.G. Contreras, Sharon and Haque, Khandaker Foysal and Levorato, Marco and Restuccia, Francesco},
title = {{SOAR: Semantic MU-MIMO Communications for Reliable Offloading of Computer Vision Tasks}},
booktitle = {IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IOT)},
year = {2025},
note = {In press},
publisher = {IEEE}
}