A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
This repository contains the TeX files for reproducing the paper submitted to IEEE Internet of Things Journal.
If you use this work in your research, please cite it as follows:
I. Rahmati, H. Shahmansouri, and A. Movaghar, "QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing", submitted to IEEE Internet of Things Journal, Oct 2023.
@article{rahmati2023qoco,
title={QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing},
author={Rahmati, Iman and Shah-Mansouri, Hamed and Movaghar, Ali},
journal={arXiv preprint arXiv:2311.02525},
year={2023}
}
- Iman Rahmati: Research Assistant in the Computer Science and Engineering Department at SUT.
- Hamed Shah-Mansouri: Assistant Professor in the Electrical Engineering Department at SUT.
- Ali Movaghar: Professor in the Computer Science and Engineering Department at SUT.
-
H. Shah-Mansouri and V. W. Wong, “Hierarchical fog-cloud computing for iot systems: A computation offloading game", IEEE Internet of Things Journal, May 2018.
-
M. Tang and V. W. Wong, "Deep reinforcement learning for task offloading in mobile edge computing systems", IEEE Transactions on Mobile Computing, Nov 2020.
-
H. Zhou, K. Jiang, X. Liu, X. Li, and V. C. Leung, “Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing”, IEEE Internet of Things Journal, Jun 2021.
-
L. Yang, H. Zhang, X. Li, H. Ji, and V. C. Leung, “A distributed computation offloading strategy in small-cell networks integrated with mobile edge computing”, IEEE/ACM Transactions on Networking, Dec 2018.