Wi-Fi Rate Adaptation using a Simple Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Wi-Fi Rate Adaptation using a Simple Deep Reinforcement Learning Approach

Published:2022-06-30 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Symposium on Computers and Communications (ISCC)
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Author:

Queiros Ruben¹,Almeida Eduardo Nuno¹,Fontes Helder¹,Ruela Jose¹,Campos Rui¹

Affiliation:

1. INESC TEC, Universidade do Porto,Faculdade de Engenharia,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9912737/9912463/09912784.pdf?arnumber=9912784

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. A Reinforcement Learning Approach to Wi-Fi Rate Adaptation Using the REINFORCE Algorithm;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

2. On the Analysis of Computational Delays in Reinforcement Learning-Based Rate Adaptation Algorithms;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

3. RateRL: A Framework for Developing RL-Based Rate Adaptation Algorithms in ns-3;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. Rate Adaptation Aware Positioning for Flying Gateways Using Reinforcement Learning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

5. Rate Adaptation Algorithms in IEEE 802.11 Wireless Networks: A Comparative Study;Journal of The Institution of Engineers (India): Series B;2023-10-24

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