Computation Offloading Method Using Stochastic Games for Software-Defined-Network-Based Multiagent Mobile Edge Computing
Author:
Affiliation:
1. School of Computer Science and Technology, Donghua University, Shanghai, China
2. School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia
3. School of Information Engineering, Huzhou University, Huzhou, China
Funder
Zhejiang Provincial Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10269651/10129116.pdf?arnumber=10129116
Reference61 articles.
1. Deep Reinforcement Learning for Computation Offloading and Resource Allocation in Unmanned-Aerial-Vehicle Assisted Edge Computing
2. Multi-agent reinforcement learning for cost-aware collaborative task execution in energy-harvesting D2D networks
3. Multi-Access Edge Computing-Based Vehicle-Vehicle-RSU Data Offloading Over the Multi-RSU-Overlapped Environment
4. Optimal privacy preservation strategies with signaling Q-learning for edge-computing-based IoT resource grant systems
5. Intelligent Delay-Aware Partial Computing Task Offloading for Multi-User Industrial Internet of Things through Edge Computing
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