Dynamic Multi-user Computation Offloading for Mobile Edge Computing using Game Theory and Deep Reinforcement Learning

Author:

Teymoori Peyvand1,Boukerche Azzedine1

Affiliation:

1. University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,Canada

Funder

Canada Research Chairs

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Improved Grey Wolf Optimizer for Task Scheduling in D2D-Assisted MEC Systems;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

2. Lyapunov-Based MADRL Policy in Wireless Powered MEC Assisted Monitoring Systems;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

3. Nash Soft Actor-Critic LEO Satellite Handover Management Algorithm for Flying Vehicles;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

4. A cloud-edge collaborative computing framework using potential games for space-air-ground integrated IoT;EURASIP Journal on Advances in Signal Processing;2024-04-20

5. Optimization of edge computing task offloading based on multi-agent game;Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023);2024-02-09

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