A Dependency-Aware Offloading Algorithm based on Deep Reinforcement Learning for Vehicular Networks
Author:
Affiliation:
1. School of Electronic and Information Engineering Beihang University,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9784422/9784599/09784756.pdf?arnumber=9784756
Reference18 articles.
1. Multi-User Offloading for Edge Computing Networks: A Dependency-Aware and Latency-Optimal Approach
2. Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing
3. A Deep Reinforcement Learning Based Offloading Game in Edge Computing
4. Power-Delay Tradeoff in Multi-User Mobile-Edge Computing Systems
5. Stackelberg Game based Computation Offloading and Resource Allocation in Mobile Edge Computing
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1. Computation offloading techniques in edge computing: A systematic review based on energy, QoS and authentication;Concurrency and Computation: Practice and Experience;2024-03-08
2. MEDIA: An Incremental DNN Based Computation Offloading for Collaborative Cloud-Edge Computing;IEEE Transactions on Network Science and Engineering;2023
3. An Offloading Algorithm based on Deep Reinforcement Learning for UAV-Aided Vehicular Edge Computing Networks;2022 IEEE 9th International Conference on Cyber Security and Cloud Computing (CSCloud)/2022 IEEE 8th International Conference on Edge Computing and Scalable Cloud (EdgeCom);2022-06
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