QECO

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

Cite this Work

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".

@misc{rahmati2023qoco,
	title={QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing}, 
	author={Iman Rahmati and Hamed Shah-Mansouri and Ali Movaghar},
	year={2023},
	eprint={2311.02525},
	archivePrefix={arXiv},
	primaryClass={cs.NI}
}

About Authors

• 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.

Primary References

• 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.