Computation Offloading and Resource Allocation in NOMA–MEC: A Deep Reinforcement Learning Approach
Author:
Affiliation:
1. Department of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China
2. Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Funder
National 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/ielx7/6488907/10227658/10091508.pdf?arnumber=10091508
Reference56 articles.
1. A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective
2. Survey on Reinforcement Learning Applications in Communication Networks
3. Implementation matters in deep policy gradients: A case study on PPO and TRPO;engstrom;arXiv 2005 12729,2020
4. Deep Reinforcement Learning: A Brief Survey
5. Intelligent Offloading in Multi-Access Edge Computing: A State-of-the-Art Review and Framework
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