Deep reinforcement learning-based computation offloading for 5G vehicle-aware multi-access edge computing network
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/6245522/9631174/09631180.pdf?arnumber=9631180
Cited by 46 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A joint optimization of resource allocation management and multi-task offloading in high-mobility vehicular multi-access edge computing networks;Ad Hoc Networks;2025-01
2. Multi-path serial tasks offloading strategy and dynamic scheduling optimization in vehicular edge computing networks;Vehicular Communications;2024-10
3. Policy network-based dual-agent deep reinforcement learning for multi-resource task offloading in multi-access edge cloud networks;China Communications;2024-04
4. UAV-assisted task offloading system using dung beetle optimization algorithm & deep reinforcement learning;Ad Hoc Networks;2024-04
5. Joint Optimization of Task Caching and Computation Offloading for Multiuser Multitasking in Mobile Edge Computing;Electronics;2024-01-17
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