Improving The Minstrel Rate Adaptation Algorithm using Shallow Neural Networks in IEEE 802.11ah

Author:

Onasis Vincent1,Kosasih Alva1,Gu Yifan1,Hardjawana Wibowo1,Qu Xinwei1,Vucetic Branka1,Chikkam Kishore2

Affiliation:

1. The University of Sydney,Centre of Excellence in Telecommunications,Sydney,Australia

2. Morse Micro,Sydney,Australia

Funder

Australian Research Council

Publisher

IEEE

Cited by 3 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. Demo: B.A.T.M.A.N. Mesh Routing on Ultra Low-Power IEEE 802.11 Modules;2024 IEEE 49th Conference on Local Computer Networks (LCN);2024-10-08

2. Rate Adaptation Algorithm with LSTM in IEEE 802.11ac;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

3. FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks;2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2023-06

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