Deep Reinforcement Learning for Dynamic Network Slicing in IEEE 802.11 Networks-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Dynamic Network Slicing in IEEE 802.11 Networks

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

de Bast Sibren,Torrea-Duran Rodolfo,Chiumento Alessandro,Pollin Sofie,Gacanin Haris

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8831168/8845034/08845211.pdf?arnumber=8845211

Cited by 21 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. Hierarchical Reinforcement Learning Based Resource Allocation for RAN Slicing;IEEE Access;2024

2. Airborne Integrated Access and Backhaul Systems: Learning-Aided Modeling and Optimization;IEEE Transactions on Vehicular Technology;2023-12

3. Demand-Oriented Fog-RAN Slicing With Self-Adaptation Via Deep Reinforcement Learning;IEEE Transactions on Vehicular Technology;2023

4. Introducing Reinforcement Learning in the Wi-Fi MAC Layer to Support Sustainable Communications in e-Health Scenarios;IEEE Access;2023

5. Implementation and Analysis of Wi-Fi Network slices based on 5G Network Slicing;2022 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2022-12-01

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