Fast Adaptive Task Offloading and Resource Allocation in Large-Scale MEC Systems via Multiagent Graph Reinforcement Learning
Author:
Affiliation:
1. School of Computer Science and Engineering, Northeastern University, Shenyang, China
2. School of College of Software, Northeastern University, Shenyang, China
Funder
National Key Research and Development Plan 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/ielx7/6488907/10375273/10153416.pdf?arnumber=10153416
Reference55 articles.
1. New Three-Tier Game-Theoretic Approach for Computation Offloading in Multi-Access Edge Computing
2. Intelligent Computation Offloading and Resource Allocation in IIoT with End-Edge-Cloud Computing Using NSGA-III
3. Vehicular Computation Offloading for Industrial Mobile Edge Computing
4. Computing on Wheels: A Deep Reinforcement Learning-Based Approach
5. Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing
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