Deep Reinforcement Learning-Based MEC Offloading and Resource Allocation in Uplink NOMA Heterogeneous Network
Author:
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9652792/9652878/09653064.pdf?arnumber=9653064
Cited by 9 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 Hybrid Task Offloading and Resource Allocation Approach for Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning for Future Wireless Network;IEEE Transactions on Consumer Electronics;2024-02
2. Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT;Alexandria Engineering Journal;2024-01
3. UAV-Assisted NOMA Network Power Allocation Under Offshore Multi-energy Complementary Power Generation System;Lecture Notes in Electrical Engineering;2024
4. IoT-Based Reinforcement Learning Using Probabilistic Model for Determining Extensive Exploration through Computational Intelligence for Next-Generation Techniques;Computational Intelligence and Neuroscience;2023-10-10
5. Computation Offloading and Resource Allocation in NOMA–MEC: A Deep Reinforcement Learning Approach;IEEE Internet of Things Journal;2023-09-01
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