Resource Allocation Optimization in the NFV-Enabled MEC Network Based on Game Theory-Reference-Cited by-同舟云学术

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Resource Allocation Optimization in the NFV-Enabled MEC Network Based on Game Theory

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
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Author:

Wu Binwei,Zeng Jie,Ge Lu,Shao Shihai,Tang Youxi,Su Xin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8753818/8761046/08761912.pdf?arnumber=8761912

Cited by 7 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. Two-stage metaheuristic for reliable and balanced network function virtualization-enabled networks;Soft Computing;2024-07

2. Dynamic Joint VNF Forwarding Graph Composition and Embedding: A Deep Reinforcement Learning Framework;IEEE Transactions on Network and Service Management;2023-12

3. Automated Pricing-based Provisioning of SDN/NFV Services in Distributed Multi-access Edge Computing using Cooperative Multi-Agent Deep Reinforcement Learning;2023 10th International Conference on Dependable Systems and Their Applications (DSA);2023-08-10

4. Online Service Provisioning in NFV-Enabled Networks Using Deep Reinforcement Learning;IEEE Transactions on Network and Service Management;2022-09

5. Novel Workload-Aware Approach to Mobile User Reallocation in Crowded Mobile Edge Computing Environment;IEEE Transactions on Intelligent Transportation Systems;2022-07

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