Deep-Reinforcement-Learning-Based Distributed Computation Offloading in Vehicular Edge Computing Networks
Author:
Affiliation:
1. School of Electronic and Information Engineering, Beihang University, Beijing, China
2. School of Engineering and Informatics, University of Sussex, Brigthon, U.K.
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/ielx7/6488907/10175002/10049431.pdf?arnumber=10049431
Reference51 articles.
1. Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
2. Multi-Antenna NOMA for Computation Offloading in Multiuser Mobile Edge Computing Systems
3. Mobility-aware partial computation offloading in vehicular networks: A deep reinforcement learning based scheme
4. A Deep Reinforcement Learning Based Offloading Game in Edge Computing
5. Computation Rate Maximization for Wireless Powered Mobile-Edge Computing With Binary Computation Offloading
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